ZandexAfrique's “Software
Engineering Course” is designed to transform beginners into experts within just
8 months. Tailored for school leavers, this comprehensive program equips
students with in-demand skills before they begin their university education.
Through hands-on training, participants gain deep insights into software
development, problem-solving, and coding, preparing them for the rapidly
growing tech industry. This course not only builds a strong foundation but also
opens up numerous opportunities for success in a variety of technology careers.
Whether you're aiming for higher education or direct employment, ZandexAfrique
empowers you to shape your future with confidence.
Introduction to Programming
This Introduction to Programming course is designed to provide students with a foundational understanding of programming concepts and practical skills. The course covers essential topics, from basic programming structures to fundamental algorithms, and introduces students to the principles of problem-solving using a programming language like C# and ASP.Net. This course structure ensures that students develop a strong foundational understanding of programming principles, practical problem-solving abilities, and hands-on experience in coding and project development.
20 Lessons-
Module 1: Introduction to Programming Concepts: Types of Programming Languages
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Module 1: Introduction to Programming Concepts: Setting up the Development Environment
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Module 2: Basic Syntax and Operations: Variables and Data Types
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Module 2: Basic Syntax and Operations: Basic Operators (Arithmetic, Comparison, Logical)
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Module 3: Control Structures: Conditional Statements (if, else if, else)
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Module 3: Control Structures: Loops (for, while)
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Module 4: Functions and Modular Programming: Defining and Calling Functions
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Module 4: Functions and Modular Programming: Parameters and Return Values
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Module 4: Functions and Modular Programming: Scope of Variables
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Module 5: Data Structures: Lists/Arrays, Tuples, and Dictionaries/Maps
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Module 6: Input and Output (I/O) Operations: Reading from and Writing to the Console
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Module 6: Input and Output (I/O) Operations: File Handling Basics (Reading/Writing Files)
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Module 7: Introduction to Debugging and Error Handling: Types of Errors (Syntax, Runtime, Logic)
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Module 7: Introduction to Debugging and Error Handling: Basic Debugging Techniques
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Module 7: Introduction to Debugging and Error Handling: Exception Handling
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Module 8: Basic Algorithms and Problem-Solving Techniques: Introduction to Algorithms (Sorting, Searching)
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Module 8: Basic Algorithms and Problem-Solving Techniques: Problem-Solving Techniques
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Module 9: Introduction to Object-Oriented Programming (OOP): Concepts of OOP (Classes, Objects, Methods)
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Module 9: Introduction to Object-Oriented Programming (OOP): Introduction to Inheritance and Encapsulation
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Module 10: Final Project: Develop a final project that integrates skills from all modules.
Data Structures and Algorithms
This Data Structures and Algorithms course provides a solid foundation in the principles of data organization and algorithm design. By learning data structures and algorithms, students will develop skills to write efficient, scalable, and optimized code to solve complex problems. This course uses a structured approach, taking students from basic data structures to advanced algorithms, with hands-on practice throughout. This course equips students with the necessary tools to handle data structures and algorithms in real-world applications. The combination of hands-on practice, challenging problem-solving tasks, and project-based learning will prepare students to tackle complex coding challenges confidently.
30 Lessons-
Module 1: Introduction to Data Structures and Algorithms: What are Data Structures and Algorithms
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Module 1: Introduction to Data Structures and Algorithms: Complexity Analysis (Big O Notation)
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Module 1: Introduction to Data Structures and Algorithms: Why Efficiency Matters
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Module 2: Arrays and Linked Lists: Array Basics and Applications
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Module 2: Arrays and Linked Lists: Linked Lists: Singly and Doubly Linked
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Module 2: Arrays and Linked Lists: Comparison between Arrays and Linked Lists
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Module 3: Stacks and Queues: Understanding Stacks (LIFO) and Queues (FIFO)
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Module 3: Stacks and Queues: Stack and Queue Operations (push, pop, enqueue, dequeue)
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Module 3: Stacks and Queues: Applications of Stacks and Queues
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Module 4: Trees and Binary Trees: Introduction to Tree Structures
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Module 4: Trees and Binary Trees: Binary Trees, Binary Search Trees (BSTs)
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Module 4: Trees and Binary Trees: Tree Traversals (Pre-order, In-order, Post-order)
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Module 5: Advanced Tree Structures: AVL Trees, Red-Black Trees (Self-Balancing Trees)
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Module 5: Advanced Tree Structures: B-Trees, Heaps (Min-Heap and Max-Heap)
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Module 6: Hashing and Hash Tables: Hash Functions and Hash Table Concepts
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Module 6: Hashing and Hash Tables: Collision Resolution Techniques (Chaining, Open Addressing)
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Module 6: Hashing and Hash Tables: Applications of Hashing
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Module 7: Graphs and Graph Algorithms: Introduction to Graphs (Directed, Undirected)
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Module 7: Graphs and Graph Algorithms: Graph Representation (Adjacency List, Matrix)
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Module 7: Graphs and Graph Algorithms: Graph Traversal (Breadth-First Search, Depth-First Search)
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Module 8: Advanced Graph Algorithms: Shortest Path Algorithms (Dijkstra, Bellman-Ford)
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Module 8: Advanced Graph Algorithms: Minimum Spanning Tree (Kruskal, Prim’s)
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Module 8: Advanced Graph Algorithms: Applications of Graphs in Real-World Scenarios
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Module 9: Sorting and Searching Algorithms: Basic Sorting Algorithms (Bubble Sort, Insertion Sort)
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Module 9: Sorting and Searching Algorithms: Efficient Sorting Algorithms (Merge Sort, Quick Sort)
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Module 9: Sorting and Searching Algorithms: Searching Algorithms (Binary Search)
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Module 10: Dynamic Programming and Greedy Algorithms: Introduction to Dynamic Programming (DP)
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Module 10: Dynamic Programming and Greedy Algorithms: Memoization and Tabulation
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Module 10: Dynamic Programming and Greedy Algorithms: Greedy Algorithms and Their Applications
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Module 11: Final Project: Design a final project that demonstrates the use of data structures and algorithms learned in the course.
Software Development Lifecycle (SDLC)
This course covers the fundamental concepts, methodologies, and processes involved in the Software Development Lifecycle (SDLC). Students will gain a thorough understanding of the lifecycle stages, best practices, and tools used in software development. Through practical assignments and projects, students will develop the skills to manage and execute software development projects efficiently. This structure offers a holistic view of the SDLC, allowing students to learn both theoretical concepts and practical skills essential for a career in software development.
28 Lessons-
Module 1: Introduction to SDLC: Overview of Software Development Lifecycle (SDLC)
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Module 1: Introduction to SDLC: Importance of SDLC in software engineering
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Module 1: Introduction to SDLC: Key SDLC methodologies (Waterfall, Agile, Spiral, V-Model, DevOps)
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Module 1: Introduction to SDLC: Comparative analysis of SDLC models
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Module 2: Requirement Analysis and Gathering: Role of requirement analysis in SDLC
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Module 2: Requirement Analysis and Gathering: Techniques for gathering requirements (interviews, surveys, workshops)
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Module 2: Requirement Analysis and Gathering: Types of requirements (functional and non-functional)
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Module 2: Requirement Analysis and Gathering: Tools for managing requirements
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Module 3: System Design and Architecture: Overview of system design concepts (high-level design, low-level design)
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Module 3: System Design and Architecture: Software architecture patterns (MVC, microservices, monolithic, SOA)
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Module 3: System Design and Architecture: Design tools and techniques (UML, ER diagrams, flowcharts)
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Module 4: Software Development and Coding Standards: Best practices in coding standards and conventions
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Module 4: Software Development and Coding Standards: Code quality metrics and tools (Linting, Code Review, Static Analysis)
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Module 4: Software Development and Coding Standards: Introduction to version control systems (Git, GitHub)
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Module 5: Testing and Quality Assurance: Types of testing: Unit, Integration, System, Acceptance
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Module 5: Testing and Quality Assurance: Test-Driven Development (TDD) and Behavior-Driven Development (BDD)
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Module 5: Testing and Quality Assurance: Introduction to automated testing and test management tools
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Module 6: Deployment and Continuous Integration/Continuous Deployment (CI/CD): Deployment strategies (Blue-Green, Rolling, Canary)
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Module 6: Deployment and Continuous Integration/Continuous Deployment (CI/CD): CI/CD pipelines and tools (Jenkins, GitLab CI/CD, GitHub Actions)
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Module 6: Deployment and Continuous Integration/Continuous Deployment (CI/CD): Monitoring and rollback strategies post-deployment
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Module 7: Maintenance, Support, and End-of-Life (EOL) Management: Types of software maintenance (corrective, adaptive, perfective, preventive)
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Module 7: Maintenance, Support, and End-of-Life (EOL) Management: Managing software updates and patches
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Module 7: Maintenance, Support, and End-of-Life (EOL) Management: Planning for EOL, support, and migration strategies
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Module 8: Agile and DevOps in SDLC: Agile methodologies (Scrum, Kanban, Lean)
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Module 8: Agile and DevOps in SDLC: DevOps culture and practices in SDLC
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Module 8: Agile and DevOps in SDLC: Key Agile and DevOps tools (JIRA, Confluence, Docker, Kubernetes)
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Module 9: Case Studies and Real-World Applications of SDLC: Case studies from industry showcasing SDLC implementation
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Module 9: Case Studies and Real-World Applications of SDLC: Lessons learned from SDLC failures and successes
Object-Oriented Programming (OOP)
This course introduces the principles of Object-Oriented Programming (OOP) and the application of its fundamental concepts in software development. The course will cover OOP principles, design patterns, and best practices for writing reusable and maintainable code. Students will build on foundational programming skills to implement OOP concepts through hands-on projects and assignments. This course structure provides a complete and practical foundation for understanding and applying Object-Oriented Programming concepts and prepares students to implement OOP in real-world software development.
35 Lessons-
Module 1: Introduction to Object-Oriented Programming: History and evolution of programming paradigms
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Module 1: Introduction to Object-Oriented Programming: Overview of OOP and its importance
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Module 1: Introduction to Object-Oriented Programming: Procedural vs. Object-Oriented Programming
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Module 1: Introduction to Object-Oriented Programming: Basic terminology; Objects, Classes, Methods, and Properties
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Module 2: Classes and Objects: Understanding classes and object instantiation
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Module 2: Classes and Objects: Class members: attributes (properties) and methods (functions)
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Module 2: Classes and Objects: Access modifiers (public, private, protected)
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Module 2: Classes and Objects: Constructor and destructor methods
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Module 3: Principles of OOP; Encapsulation, Abstraction, Inheritance, and Polymorphism: Encapsulation: Data hiding and information hiding
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Module 3: Principles of OOP; Encapsulation, Abstraction, Inheritance, and Polymorphism: Abstraction: Simplifying complex systems
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Module 3: Principles of OOP; Encapsulation, Abstraction, Inheritance, and Polymorphism: Inheritance: Creating hierarchical relationships between classes
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Module 3: Principles of OOP; Encapsulation, Abstraction, Inheritance, and Polymorphism: Polymorphism: Overloading and overriding methods
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Module 4: Advanced OOP Concepts and Design Patterns: Composition vs. Inheritance: When to use which approach
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Module 4: Advanced OOP Concepts and Design Patterns: - Overview of common design patterns (Singleton, Factory, Observer, etc.)
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Module 4: Advanced OOP Concepts and Design Patterns: Best practices in designing reusable and maintainable code
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Module 5: Interfaces and Abstract Classes: Defining and implementing interfaces
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Module 5: Interfaces and Abstract Classes: Abstract classes and methods
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Module 5: Interfaces and Abstract Classes: Interface vs. inheritance: Choosing the right approach
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Module 5: Interfaces and Abstract Classes: Importance of loose coupling and code flexibility
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Module 6: Error Handling and Exception Management in OOP: Types of errors: syntax, runtime, and logic errors
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Module 6: Error Handling and Exception Management in OOP: Exception handling mechanisms (try, catch, finally)
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Module 6: Error Handling and Exception Management in OOP: Creating custom exception classes
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Module 6: Error Handling and Exception Management in OOP: Best practices in error handling
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Module 7: Collections, Generics, and Advanced Data Structures: Introduction to collections (ArrayList, HashMap, LinkedList, etc.)
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Module 7: Collections, Generics, and Advanced Data Structures: Using generics for type safety and flexibility
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Module 7: Collections, Generics, and Advanced Data Structures: Applying collections and generics in OOP applications
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Module 8: File I/O and Serialization in OOP: Reading from and writing to files
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Module 8: File I/O and Serialization in OOP: Serialization and deserialization of objects
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Module 8: File I/O and Serialization in OOP: Working with streams for file handling
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Module 9: Unit Testing and Debugging in OOP: Introduction to unit testing frameworks (JUnit, PyTest, etc.)
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Module 9: Unit Testing and Debugging in OOP: Writing test cases for OOP code
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Module 9: Unit Testing and Debugging in OOP: Debugging strategies and tools
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Module 10: Real-World Applications of OOP and Best Practices: Applying OOP in real-world applications (e.g., web apps, data management)
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Module 10: Real-World Applications of OOP and Best Practices: Best practices in OOP (SOLID principles, code readability, and maintainability)
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Module 10: Real-World Applications of OOP and Best Practices: Case studies of OOP in popular software projects
Database Management Systems (DBMS)
This course provides an in-depth understanding of Database Management Systems (DBMS), including the principles of data modeling, database design, SQL programming, and transaction management. The course covers different types of databases, with a focus on relational databases, and offers practical experience in creating, managing, and optimizing databases. This course structure ensures a well-rounded, practical, and theoretical understanding of Database Management Systems, preparing students for roles in database design, administration, and application development.
35 Lessons-
Module 1: Introduction to Database Management Systems: Overview of databases and their role in information systems
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Module 1: Introduction to Database Management Systems: Types of databases: relational, NoSQL, hierarchical, and network databases
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Module 1: Introduction to Database Management Systems: Components of a DBMS and its advantages over file systems
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Module 2: Data Models and Database Architecture: Data models: hierarchical, network, relational, and object-oriented
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Module 2: Data Models and Database Architecture: Three-schema architecture: external, conceptual, and internal levels
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Module 2: Data Models and Database Architecture: Database schemas and instances
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Module 3: Entity-Relationship (ER) Modeling: Entity-Relationship (ER) model and ER diagrams
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Module 3: Entity-Relationship (ER) Modeling: Entities, attributes, and relationships
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Module 3: Entity-Relationship (ER) Modeling: Enhanced ER model concepts: weak entities, generalization, specialization
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Module 4: Relational Database Design and Normalization: Relational model and relational schema
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Module 4: Relational Database Design and Normalization: - Keys: primary, foreign, composite, and candidate keys
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Module 4: Relational Database Design and Normalization: Functional dependencies and normalization (1NF, 2NF, 3NF, and BCNF)
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Module 4: Relational Database Design and Normalization: Anomalies and redundancy in database design
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Module 5: Structured Query Language (SQL): Basics of SQL: DDL (Data Definition Language), DML (Data Manipulation Language), and DCL (Data Control Language)
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Module 5: Structured Query Language (SQL): SQL queries for data retrieval: SELECT, WHERE, GROUP BY, HAVING, and ORDER BY
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Module 5: Structured Query Language (SQL): SQL joins: INNER, LEFT, RIGHT, FULL
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Module 5: Structured Query Language (SQL): Nested queries, subqueries, and views
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Module 6: Advanced SQL and Database Functions: SQL functions (aggregate, string, date, and numeric functions)
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Module 6: Advanced SQL and Database Functions: Stored procedures, triggers, and user-defined functions
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Module 6: Advanced SQL and Database Functions: Indexes and their role in performance optimization
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Module 7: Transactions and Concurrency Control: Concept of a transaction and ACID properties
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Module 7: Transactions and Concurrency Control: Concurrency issues: lost updates, dirty reads, and phantom reads
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Module 7: Transactions and Concurrency Control: Concurrency control mechanisms: locking, two-phase locking, and timestamping
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Module 8: Database Security and Authorization: Database security concepts: authentication, authorization, and encryption
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Module 8: Database Security and Authorization: Access control mechanisms and privileges
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Module 8: Database Security and Authorization: SQL injection and other security vulnerabilities
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Module 9: NoSQL Databases and Big Data Management: Types of NoSQL databases: key-value, document, column-family, graph databases
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Module 9: NoSQL Databases and Big Data Management: Comparison between NoSQL and SQL databases
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Module 9: NoSQL Databases and Big Data Management: Introduction to Big Data and its role in modern databases
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Module 10: Database Administration and Maintenance: Database backup and recovery techniques
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Module 10: Database Administration and Maintenance: Database performance tuning and optimization
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Module 10: Database Administration and Maintenance: Monitoring and maintenance tools
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Module 11: Data Warehousing and Business Intelligence (BI): Introduction to data warehousing concepts and architecture
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Module 11: Data Warehousing and Business Intelligence (BI): ETL (Extract, Transform, Load) processes
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Module 11: Data Warehousing and Business Intelligence (BI): Business Intelligence (BI) tools and data analytics
Version Control Systems (e.g., Git)
This course provides a thorough understanding of Version Control Systems, with a focus on Git as the primary VCS tool. Students will learn fundamental concepts, practical applications, and advanced techniques to manage code, collaborate effectively, and track changes in a software development environment. The course covers both foundational VCS concepts and advanced Git workflows used in collaborative development. This course structure ensures that students develop a strong, practical understanding of Version Control Systems, with a focus on using Git effectively in both individual and team-based development projects.
29 Lessons-
Module 1: Introduction to Version Control Systems: Overview and importance of Version Control Systems (VCS)
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Module 1: Introduction to Version Control Systems: Types of VCS: Local, Centralized, and Distributed
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Module 1: Introduction to Version Control Systems: Popular VCS tools (Git, SVN, Mercurial) and their applications
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Module 2: Getting Started with Git: Installing and configuring Git on different platforms
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Module 2: Getting Started with Git: Basic Git commands: initializing repositories, staging, committing, and viewing commit history
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Module 2: Getting Started with Git: Understanding repositories, snapshots, and versioning in Git
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Module 3: Git Architecture and Workflow Basics: Git architecture: working directory, staging area, and commit history
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Module 3: Git Architecture and Workflow Basics: Git workflow: add, commit, and push
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Module 3: Git Architecture and Workflow Basics: Undoing changes: git reset, git revert, and git checkout
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Module 4: Branching and Merging in Git: Understanding branches and their purpose in Git
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Module 4: Branching and Merging in Git: Creating, switching, and deleting branches
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Module 4: Branching and Merging in Git: Merging branches, resolving merge conflicts, and best practices
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Module 5: Remote Repositories and Collaboration: Working with remote repositories (GitHub, GitLab, Bitbucket)
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Module 5: Remote Repositories and Collaboration: Cloning, pushing, pulling, and fetching changes
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Module 5: Remote Repositories and Collaboration: Setting up SSH keys for authentication and contributing to collaborative projects
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Module 6: Advanced Git Workflow: Feature Branches, Rebasing, and Stashing: Feature branching model and its advantages
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Module 6: Advanced Git Workflow: Feature Branches, Rebasing, and Stashing: Rebasing: purpose, usage, and best practices
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Module 6: Advanced Git Workflow: Feature Branches, Rebasing, and Stashing: Using git stash to save and retrieve work in progress
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Module 7: Working with Tags and Releases: Understanding tags and creating annotated and lightweight tags
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Module 7: Working with Tags and Releases: Versioning software with Git tags
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Module 7: Working with Tags and Releases: Managing releases with Git tags
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Module 8: Git Hooks and Automation: Introduction to Git hooks and common hook types (pre-commit, post-commit, etc.)
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Module 8: Git Hooks and Automation: Automating tasks with Git hooks (linting, testing, etc.)
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Module 8: Git Hooks and Automation: Best practices in using hooks for team projects
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Module 9: Git Workflow Models: Git Flow, GitHub Flow, and GitLab Flow: Choosing the right workflow model based on project needs
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Module 9: Git Workflow Models: Git Flow, GitHub Flow, and GitLab Flow: Best practices for team collaboration and release management
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Module 10: Git Best Practices and Troubleshooting: Best practices for maintaining a clean and organized Git history
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Module 10: Git Best Practices and Troubleshooting: Common issues and troubleshooting techniques (e.g., fixing detached HEAD, resolving conflicts)
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Module 10: Git Best Practices and Troubleshooting: Using Git commands for history management (git log, git diff, git blame)
Web Development Fundamentals
This course introduces students to the essential concepts and technologies in web development. Covering both front-end and basic back-end development, students will learn how to create functional, responsive, and interactive web applications. The course spans HTML, CSS, JavaScript, and introductory server-side scripting. This course structure equips students with essential skills to create, manage, and deploy web projects while building a foundation for further specialization in web development.
32 Lessons-
Module 1: Introduction to the Web and Web Technologies: What is web development?
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Module 1: Introduction to the Web and Web Technologies: Understanding how the web works (HTTP, browsers, servers)
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Module 1: Introduction to the Web and Web Technologies: Overview of front-end and back-end development
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Module 1: Introduction to the Web and Web Technologies: Common tools and editors for web development
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Module 2: Building Web Pages with HTML: Creating headings, paragraphs, lists, and links
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Module 2: Building Web Pages with HTML: Working with images, tables, and forms
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Module 2: Building Web Pages with HTML: Semantic HTML and best practices
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Module 3: Styling with CSS: Basics of CSS and the box model
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Module 3: Styling with CSS: Selectors, properties, and values
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Module 3: Styling with CSS: Styling text, backgrounds, borders, and layouts
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Module 3: Styling with CSS: Flexbox and grid for advanced layout designs
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Module 3: Styling with CSS: Responsive design and media queries
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Module 4: Interactive Web Pages with JavaScript: Introduction to JavaScript and its role in web development
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Module 4: Interactive Web Pages with JavaScript: Basic syntax, variables, and data types
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Module 4: Interactive Web Pages with JavaScript: Functions, loops, and conditionals
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Module 4: Interactive Web Pages with JavaScript: DOM manipulation and event handling
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Module 4: Interactive Web Pages with JavaScript: Basic form validation with JavaScript
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Module 5: Advanced JavaScript Concepts: Understanding the Document Object Model (DOM) in depth
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Module 5: Advanced JavaScript Concepts: Working with JSON and data fetching
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Module 5: Advanced JavaScript Concepts: Introduction to ES6 features (arrow functions, promises, etc.)
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Module 5: Advanced JavaScript Concepts: Basic asynchronous programming with `fetch` API
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Module 6: Version Control with Git and GitHub: Basic Git commands: `init`, `clone`, `commit`, `push`, `pull`
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Module 6: Version Control with Git and GitHub: Creating and managing branches
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Module 6: Version Control with Git and GitHub: Collaborating on projects using GitHub
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Module 6: Version Control with Git and GitHub: Understanding pull requests and code reviews
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Module 7: Introduction to Basic Back-End Concepts: Overview of client-server architecture
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Module 7: Introduction to Basic Back-End Concepts: Basics of server-side scripting (e.g., Node.js)
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Module 7: Introduction to Basic Back-End Concepts: Understanding RESTful APIs and HTTP methods
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Module 7: Introduction to Basic Back-End Concepts: Connecting the front end with the back end
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Module 8: Deploying Web Applications: Hosting and deploying web applications (e.g., GitHub Pages, Netlify)
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Module 8: Deploying Web Applications: Introduction to continuous integration and deployment (CI/CD) basics
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Module 8: Deploying Web Applications: Best practices for web app deployment and monitoring
Software Design and Architecture
This course provides an in-depth exploration of the principles and practices involved in software design and architecture. It covers foundational concepts, common design patterns, architectural styles, and techniques for creating scalable, maintainable, and efficient software systems. The course prepares students to analyze and design software solutions that meet quality attributes and business goals. This course structure ensures students gain comprehensive knowledge and hands-on experience in designing robust and scalable software systems, preparing them for roles such as software architect or senior developer.
27 Lessons-
Module 1: Introduction to Software Architecture and Design: The importance of software design and architecture
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Module 1: Introduction to Software Architecture and Design: Differences between software design and architecture
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Module 1: Introduction to Software Architecture and Design: Core principles: SOLID, DRY, KISS, and YAGNI
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Module 1: Introduction to Software Architecture and Design: Software development lifecycle and its relation to design
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Module 2: Software Design Patterns: Overview of design patterns: Creational, Structural, Behavioral
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Module 2: Software Design Patterns: Detailed study of popular patterns: Singleton, Factory, Observer, Strategy, etc.
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Module 2: Software Design Patterns: Use cases and practical applications of each pattern
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Module 3: Architectural Patterns and Styles: Overview of architectural patterns: Monolithic, Microservices, Layered, Event-Driven
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Module 3: Architectural Patterns and Styles: Detailed exploration of service-oriented architecture (SOA) and microservices
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Module 3: Architectural Patterns and Styles: Client-server, MVC, and MVVM architectures
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Module 3: Architectural Patterns and Styles: Best practices for choosing the right architecture for specific projects
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Module 4: Design Principles for Scalability and Performance: Principles of high scalability and fault tolerance
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Module 4: Design Principles for Scalability and Performance: Load balancing, caching strategies, and data partitioning
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Module 4: Design Principles for Scalability and Performance: Performance optimization techniques in software design
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Module 4: Design Principles for Scalability and Performance: Strategies for handling distributed systems and concurrency
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Module 5: Quality Attributes in Software Architecture: Defining and balancing quality attributes: availability, security, performance, etc.
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Module 5: Quality Attributes in Software Architecture: Trade-offs and prioritization of attributes
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Module 5: Quality Attributes in Software Architecture: Techniques for measuring and ensuring software quality
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Module 5: Quality Attributes in Software Architecture: Module 6: Documenting and Communicating Software Designs
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Module 6: Documenting and Communicating Software Designs: Creating effective design documents and architecture diagrams
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Module 6: Documenting and Communicating Software Designs: UML diagrams: use case, sequence, class, and activity diagrams
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Module 6: Documenting and Communicating Software Designs: Techniques for presenting architecture to stakeholders
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Module 6: Documenting and Communicating Software Designs: Version control and documentation best practices
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Module 7: Advanced Topics in Software Architecture: Microservices vs. monolithic architectures: pros and cons
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Module 7: Advanced Topics in Software Architecture: Cloud-native architectures and serverless computing
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Module 7: Advanced Topics in Software Architecture: Domain-driven design (DDD) and its application in software development
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Module 7: Advanced Topics in Software Architecture: Event sourcing and CQRS patterns
Testing and Quality Assurance
This course covers essential concepts and practices in software testing and quality assurance. It emphasizes manual and automated testing strategies, test case design, QA methodologies, and modern tools. The course equips students with the knowledge and skills needed to implement effective testing procedures, maintain high software quality, and contribute to reliable software releases. This course ensures students develop a well-rounded understanding of testing and quality assurance, preparing them for roles as QA engineers, software testers, or quality assurance specialists.
32 Lessons-
Module 1: Introduction to Software Testing and Quality Assurance:The importance of testing in software development
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Module 1: Introduction to Software Testing and Quality Assurance: Quality assurance vs. quality control
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Module 1: Introduction to Software Testing and Quality Assurance: Basic terminology: defects, bugs, errors, failures
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Module 1: Introduction to Software Testing and Quality Assurance: Key principles of software testing (e.g., testing shows presence of defects)
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Module 2: Types and Levels of Testing: Types of testing: functional, non-functional, black-box, white-box
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Module 2: Types and Levels of Testing: Levels of testing: unit, integration, system, and acceptance testing
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Module 2: Types and Levels of Testing: Exploratory testing and regression testing
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Module 2: Types and Levels of Testing: Introduction to performance, security, and usability testing
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Module 3: Test Case Design and Execution: Creating effective test cases: test steps, expected results, actual results
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Module 3: Test Case Design and Execution: Test design techniques: equivalence partitioning, boundary value analysis
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Module 3: Test Case Design and Execution: Test data preparation and management
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Module 3: Test Case Design and Execution: Prioritizing test cases based on risk and impact
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Module 4: Manual Testing Processes and Tools: The manual testing lifecycle
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Module 4: Manual Testing Processes and Tools: Reporting bugs: bug life cycle, bug tracking tools (e.g., JIRA, Bugzilla)
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Module 4: Manual Testing Processes and Tools: Documenting test plans and test reports
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Module 4: Manual Testing Processes and Tools: Collaboration between testers and developers
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Module 5: Automated Testing Essentials: Benefits and limitations of automated testing
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Module 5: Automated Testing Essentials: Types of automated testing: unit, integration, UI testing
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Module 5: Automated Testing Essentials: Introduction to popular tools (e.g., Selenium, JUnit, TestNG)
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Module 5: Automated Testing Essentials: Writing and running test scripts
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lesson title
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Module 6: Continuous Testing and DevOps Integration: Integration of testing into CI/CD pipelines
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Module 6: Continuous Testing and DevOps Integration: The role of continuous testing in DevOps
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Module 6: Continuous Testing and DevOps Integration: Tools for CI/CD (e.g., Jenkins, GitLab CI/CD)
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Module 6: Continuous Testing and DevOps Integration: Best practices for automated and continuous testing
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Module 7: Advanced Testing Techniques: Performance testing (e.g., JMeter, LoadRunner)
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Module 7: Advanced Testing Techniques: Security testing basics (e.g., OWASP Top 10, penetration testing tools)
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Module 7: Advanced Testing Techniques: Mocking and stubbing in automated tests
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Module 8: Quality Metrics and Reporting: Key quality metrics: defect density, test coverage, mean time to detect (MTTD)
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Module 8: Quality Metrics and Reporting: Creating dashboards and comprehensive reports
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Module 8: Quality Metrics and Reporting: Evaluating test effectiveness and coverage
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Module 8: Quality Metrics and Reporting: Continuous improvement through feedback loops
Agile and DevOps Practices
This course explores the principles, methodologies, and best practices of Agile and DevOps to enable efficient and collaborative software development. It covers essential frameworks, cultural shifts, continuous integration/continuous deployment (CI/CD), and tools for effective implementation. The course prepares students to manage projects in Agile environments and understand how DevOps bridges the gap between development and operations for faster delivery. This course ensures that students acquire the skills and mindset necessary to implement Agile and DevOps practices effectively, preparing them for roles such as Agile practitioners, DevOps engineers, and project managers.
32 Lessons-
Module 1: Introduction to Agile and DevOps: Overview of traditional software development models vs. Agile
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Module 1: Introduction to Agile and DevOps: Introduction to Agile principles and the Agile Manifesto
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Module 1: Introduction to Agile and DevOps: Key concepts of DevOps and its relationship with Agile
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Module 1: Introduction to Agile and DevOps: Benefits of adopting Agile and DevOps practices
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Module 2: Agile Methodologies: Scrum framework: roles, events, and artifacts
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Module 2: Agile Methodologies: Kanban: visualizing work and managing flow
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Module 2: Agile Methodologies: Lean software development principles
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Module 2: Agile Methodologies: Differences and similarities between Scrum, Kanban, and other Agile methodologies
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Module 3: Agile Planning and Estimation: User stories, epics, and story mapping
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Module 3: Agile Planning and Estimation: Backlog grooming and prioritization techniques
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Module 3: Agile Planning and Estimation: Estimation techniques: Planning Poker, T-shirt sizing, etc.
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Module 3: Agile Planning and Estimation: Sprint planning and goal setting
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Module 4: DevOps Culture and Practices: The cultural shift required for successful DevOps adoption
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Module 4: DevOps Culture and Practices: Collaboration between development and operations teams
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Module 4: DevOps Culture and Practices: Concepts of Infrastructure as Code (IaC) and Configuration Management
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Module 4: DevOps Culture and Practices: Automation, monitoring, and feedback loops in DevOps
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Module 5: Continuous Integration and Continuous Deployment (CI/CD): Setting up a CI/CD pipeline
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Module 5: Continuous Integration and Continuous Deployment (CI/CD): Popular CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions)
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Module 5: Continuous Integration and Continuous Deployment (CI/CD): Best practices for automated testing and deployments
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Module 5: Continuous Integration and Continuous Deployment (CI/CD): Version control integration with CI/CD workflows
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Module 6: Agile and DevOps Metrics and Monitoring: Key metrics for Agile: velocity, burndown charts, cumulative flow diagrams
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Module 6: Agile and DevOps Metrics and Monitoring: DevOps metrics: lead time, deployment frequency, mean time to recovery (MTTR)
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Module 6: Agile and DevOps Metrics and Monitoring: Tools for tracking and visualization (e.g., JIRA, Grafana)
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Module 6: Agile and DevOps Metrics and Monitoring: Continuous feedback loops for process improvement
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Module 7: Tools and Technologies in DevOps: Overview of key tools in the DevOps ecosystem: Docker, Kubernetes, Ansible, Terraform
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Module 7: Tools and Technologies in DevOps: Cloud services for DevOps (e.g., AWS, Azure DevOps)
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Module 7: Tools and Technologies in DevOps: Containerization and orchestration fundamentals
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Module 7: Tools and Technologies in DevOps: Implementing Infrastructure as Code (IaC)
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Module 8: Advanced Topics in Agile and DevOps: Scaling Agile: SAFe (Scaled Agile Framework), LeSS (Large-Scale Scrum)
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Module 8: Advanced Topics in Agile and DevOps: DevSecOps: integrating security into DevOps pipelines
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Module 8: Advanced Topics in Agile and DevOps: Site reliability engineering (SRE) and its relation to DevOps
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Module 8: Advanced Topics in Agile and DevOps: Agile and DevOps in distributed teams
Project Management and Documentation
This course provides an in-depth understanding of project management principles and documentation practices. It covers project lifecycle management, planning, execution, monitoring, and closure. The course also emphasizes the creation and management of project documentation to ensure clear communication and successful project outcomes. Students will learn industry-standard methodologies and tools for efficient project management. This course ensures that students develop a holistic understanding of project management and documentation, preparing them for roles such as project managers, project coordinators, and team leads in various industries.
32 Lessons-
Module 1: Introduction to Project Management: Definition and significance of project management
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Module 1: Introduction to Project Management: Key project management terminologies
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Module 1: Introduction to Project Management: Project management triangle: scope, time, and cost
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Module 1: Introduction to Project Management: Overview of project lifecycle phases
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Module 2: Project Management Methodologies: Waterfall vs. Agile: strengths and limitations
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Module 2: Project Management Methodologies: Hybrid methodologies (e.g., Agile-Waterfall)
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Module 2: Project Management Methodologies: Overview of Scrum, Kanban, and Lean
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Module 2: Project Management Methodologies: Choosing the right methodology for different project types
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Module 3: Project Planning and Scheduling: Creating project plans and timelines
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Module 3: Project Planning and Scheduling: Work breakdown structure (WBS)
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Module 3: Project Planning and Scheduling: Gantt charts and project scheduling tools (e.g., Microsoft Project, Trello)
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Module 3: Project Planning and Scheduling: Defining milestones and critical paths
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Module 4: Risk Management and Mitigation Strategies: Identifying project risks and potential impacts
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Module 4: Risk Management and Mitigation Strategies: Risk assessment techniques (e.g., SWOT analysis)
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Module 4: Risk Management and Mitigation Strategies: Developing risk mitigation and contingency plans
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Module 4: Risk Management and Mitigation Strategies: Monitoring and adjusting plans for ongoing risk management
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Module 5: Budgeting and Resource Allocation: Basics of project budgeting and cost estimation
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Module 5: Budgeting and Resource Allocation: Resource allocation strategies
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Module 5: Budgeting and Resource Allocation: Managing project resources effectively (human, material, and financial)
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Module 5: Budgeting and Resource Allocation: Budget tracking and financial reporting
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Module 6: Communication and Stakeholder Management: Importance of clear communication in project management
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Module 6: Communication and Stakeholder Management: Identifying and engaging stakeholders
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Module 6: Communication and Stakeholder Management: Creating a communication plan and stakeholder matrix
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Module 6: Communication and Stakeholder Management: Handling stakeholder expectations and feedback
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Module 7: Project Documentation Practices: Key project documents: project charter, project plan, status reports, and closure documents
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Module 7: Project Documentation Practices: Writing effective project documentation
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Module 7: Project Documentation Practices: Version control for documentation (e.g., using tools like Git)
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Module 7: Project Documentation Practices: Ensuring documentation compliance and accuracy
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Module 8: Monitoring, Control, and Project Closure: Tracking project progress and performance metrics (e.g., KPIs)
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Module 8: Monitoring, Control, and Project Closure: Change management processes
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Module 8: Monitoring, Control, and Project Closure: Final project audits and lessons learned
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Module 8: Monitoring, Control, and Project Closure: Closing out a project and final reporting
Capstone Project or Real-World Applications
This course provides students with an opportunity to apply their cumulative knowledge and skills to real-world problems through the completion of a capstone project. The course emphasizes hands-on experience, project management, and the ability to work in teams or independently to create, implement, and present a substantial project that addresses a practical challenge. This course ensures that students develop a holistic understanding of project management and documentation, preparing them for roles such as project managers, project coordinators, and team leads in various industries.
28 Lessons-
Module 1: Project Ideation and Proposal Development: Brainstorming project ideas
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Module 1: Project Ideation and Proposal Development: Identifying real-world problems and their significance
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Module 1: Project Ideation and Proposal Development: Writing a project proposal: objectives, scope, and feasibility
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Module 1: Project Ideation and Proposal Development: Establishing goals and deliverables
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Module 2: Planning and Resource Allocation: Creating a detailed project plan and timeline
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Module 2: Planning and Resource Allocation: Work breakdown structure (WBS) and task allocation
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Module 2: Planning and Resource Allocation: Identifying and allocating resources (tools, technology, team roles)
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Module 2: Planning and Resource Allocation: Establishing communication and collaboration strategies
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Module 3: Project Development and Execution: Agile and iterative project execution methodologies
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Module 3: Project Development and Execution: Prototyping and initial implementation
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Module 3: Project Development and Execution: Continuous feedback loops and adaptive changes
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Module 3: Project Development and Execution: Ensuring project alignment with the proposal and goals
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Module 4: Problem Solving and Adaptation: Identifying and addressing challenges during project execution
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Module 4: Problem Solving and Adaptation: Applying critical thinking and troubleshooting techniques
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Module 4: Problem Solving and Adaptation: Collaborative problem-solving and team dynamics
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Module 4: Problem Solving and Adaptation: Leveraging mentorship and expert advice for problem resolution
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Module 5: Testing and Quality Assurance: Importance of testing and validation
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Module 5: Testing and Quality Assurance: Creating test plans and conducting tests (e.g., unit testing, user acceptance testing)
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Module 5: Testing and Quality Assurance: Collecting feedback from stakeholders or pilot users
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Module 5: Testing and Quality Assurance: Ensuring project quality aligns with objectives
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Module 6: Documentation and Presentation Preparation: Writing comprehensive project documentation
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Module 6: Documentation and Presentation Preparation: Preparing project presentations (slides, demos, storytelling)
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Module 6: Documentation and Presentation Preparation: Best practices for public speaking and presenting technical projects
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Module 6: Documentation and Presentation Preparation: Creating supplementary materials (e.g., user manuals, executive summaries)
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Module 7: Final Project Presentation and Evaluation: Presenting the project to an audience (faculty, peers, industry experts)
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Module 7: Final Project Presentation and Evaluation: Handling Q&A sessions effectively
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Module 7: Final Project Presentation and Evaluation: Gathering feedback from evaluators
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Module 7: Final Project Presentation and Evaluation: Reflecting on lessons learned and potential next steps
1 Lessons
Founder
Emmanuel Essien
Emmanuel Essien is the visionary founder of ZandexAfrique Technologies Ltd, a company dedicated to providing innovative technological solutions across consultancy, installations, and training. With a strong background in technology and a passion for empowering businesses, Emmanuel has led ZandexAfrique to become a trusted partner for organizations seeking to enhance their IT infrastructure and capabilities. Under his leadership, the company has developed a reputation for delivering cutting-edge services, particularly in software development, network design, and IT training. Emmanuel’s commitment to excellence and future-focused approach has positioned ZandexAfrique as a key player in the tech industry.
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- Price
550,000₦
600,000₦ - Instructor Emmanuel Essien
- Duration 96 days
- Category Web Development
- Curriculum 13
- Lectures 363
- Enrolled 0