The Certificate in AI Agents & Full Stack Application Development – Professional is a six-month career-oriented program designed to develop practical skills in modern web application development, databases, APIs, backend systems, frontend interfaces, software development workflows, Artificial Intelligence, and AI-powered application development.

The program progresses from programming fundamentals into full-stack application development, covering frontend interfaces, backend programming, database management, REST APIs, authentication, application architecture, version control, debugging, testing, and deployment fundamentals.

A significant part of the program focuses on integrating Generative AI, Large Language Models, AI APIs, prompt engineering, Retrieval-Augmented Generation (RAG) concepts, tool integration, and AI agent workflows into practical software applications.

Through hands-on assignments and application projects, learners develop the ability to design, build, connect, test, and deploy functional web applications with AI-powered features.

• Programming Fundamentals
  Variables, data types, operators, conditions, loops, functions and structured programming
• Object-Oriented Programming Fundamentals
  Classes, objects, methods, inheritance and basic object-oriented application design
• Advanced HTML & CSS
  Semantic HTML, forms, responsive layouts, Flexbox, Grid and modern interface styling
• JavaScript for Web Development
  Modern JavaScript, functions, arrays, objects, events, DOM manipulation and asynchronous programming
• Frontend Application Development
  Component-based interfaces, forms, state management concepts and interactive web applications
• Modern Frontend Framework Fundamentals
  Introduction to component-based development, routing, reusable components and application structure
• Backend Development
  Server-side programming, routing, request handling, middleware and backend application architecture
• REST API Development
  Creating APIs, HTTP methods, request validation, responses, JSON and API architecture
• Database Design
  Relational databases, tables, relationships, keys, normalization and practical database architecture
• SQL & Database Programming
  Queries, joins, filtering, aggregation, transactions and application-oriented database operations
• Database Integration
  Connecting backend applications with databases and performing CRUD operations
• Authentication & Authorization
  User registration, login systems, sessions, tokens, roles and access control fundamentals
• Application Security Fundamentals
  Input validation, secure authentication, common web security concepts and responsible development practices
• Git & Version Control
  Branches, commits, repositories, collaboration workflows and source-code management
• Debugging & Testing Fundamentals
  Identifying errors, debugging application code, testing workflows and basic quality assurance
• Application Deployment Fundamentals
  Hosting concepts, environment configuration, deployment workflows and production basics
• Cloud & Application Services Fundamentals
  Introduction to cloud hosting, application services, storage and deployment environments
• Artificial Intelligence Fundamentals
  AI concepts, machine learning overview, Generative AI and practical AI applications
• Large Language Models
  Understanding LLMs, tokens, context, limitations and application development use cases
• Prompt Engineering
  Structured prompts, system instructions, contextual prompting and effective AI interaction
• AI API Integration
  Connecting applications with AI services, handling requests and processing AI-generated responses
• AI-Powered Web Applications
  Building application features such as AI assistants, content generation, summarization and intelligent search
• Introduction to Retrieval-Augmented Generation
  Understanding embeddings, knowledge sources, retrieval concepts and AI applications using external information
• Introduction to AI Agents
  Agent concepts, instructions, context, tools, workflows and basic autonomous task execution
• Tool-Using AI Applications
  Connecting AI systems with application functions, APIs and external tools
• AI-Assisted Software Development
  Using AI tools for coding, debugging, documentation, refactoring and development productivity
• Full Stack Application Project
  Designing and developing a complete application with frontend, backend, database and API integration
• AI-Powered Application Project
  Developing a practical application incorporating an AI-powered feature or AI service
• Professional Development Project
  Building, testing, documenting and presenting a complete software application