The Certificate in AI Agents & Full Stack Application Development – Career Plus is a nine-month advanced career-oriented program designed to develop comprehensive skills in full-stack software development, modern web technologies, databases, APIs, cloud deployment, Artificial Intelligence, Generative AI, AI agents, and intelligent application development.

The program takes learners beyond basic application development and focuses on the complete software development lifecycle, including application architecture, advanced frontend development, backend engineering, database design, API development, authentication, security, testing, Git workflows, deployment, and cloud-based application management.

The AI development component covers Large Language Models, prompt engineering, AI APIs, embeddings, vector databases, Retrieval-Augmented Generation (RAG), function and tool calling, AI workflows, multi-step AI systems, and AI agent architectures.

Learners will work on progressively complex projects that combine frontend interfaces, backend services, databases, external APIs, cloud services, and AI capabilities to create practical intelligent applications suitable for real-world business and technology use cases.

The program also emphasizes professional development practices, project documentation, Git-based collaboration, debugging, testing, deployment, portfolio development, and technical presentation.

• Advanced Programming Fundamentals
  Structured programming, functions, data structures, error handling and reusable application logic
• Object-Oriented Programming
  Classes, objects, inheritance, encapsulation, abstraction and practical application design
• Data Structures & Problem Solving
  Arrays, objects, collections, searching, sorting and practical programming problem solving
• Advanced HTML & CSS
  Semantic markup, responsive layouts, Flexbox, Grid, animations and modern interface design
• Advanced JavaScript
  ES6+, modules, asynchronous programming, promises, APIs, DOM manipulation and advanced application logic
• Modern Frontend Development
  Component-based development, reusable interfaces, state management, routing and frontend architecture
• Frontend Application Architecture
  Project structure, reusable components, form handling, validation and scalable frontend organization
• Backend Application Development
  Server-side programming, routing, middleware, controllers, services and backend architecture
• REST API Development
  API architecture, HTTP methods, validation, error handling, pagination and structured API responses
• Advanced Database Design
  Relational database architecture, relationships, normalization, indexing and performance fundamentals
• Advanced SQL
  Joins, subqueries, aggregation, views, transactions, constraints and advanced query techniques
• Database Integration & ORM Concepts
  Connecting applications with databases, CRUD operations, models and application data layers
• Authentication & Authorization
  Secure registration, login, sessions, tokens, roles, permissions and access-control systems
• Web Application Security
  Input validation, secure authentication, common vulnerabilities, data protection and secure development practices
• Git & Professional Version Control
  Branching, merging, pull requests, collaboration workflows and professional source-code management
• Software Testing & Debugging
  Unit testing concepts, API testing, debugging techniques and application quality practices
• Application Architecture & Design
  Layered architecture, modular applications, reusable services and maintainable software design
• Cloud Computing Fundamentals
  Cloud concepts, compute services, storage, databases, networking basics and application hosting
• Application Deployment
  Environment configuration, deployment workflows, production builds, domains and application hosting
• DevOps Fundamentals
  Development workflows, environment management, deployment automation concepts and CI/CD introduction
• Artificial Intelligence Fundamentals
  AI concepts, machine learning overview, Generative AI and modern AI application use cases
• Large Language Models
  LLM concepts, tokens, context windows, model capabilities, limitations and application patterns
• Advanced Prompt Engineering
  Structured prompting, system instructions, context management, few-shot techniques and output control
• AI API Integration
  Integrating AI services into applications and handling prompts, responses, errors and application workflows
• AI-Powered Application Development
  Building intelligent features such as AI assistants, summarization, classification, content generation and analysis
• Embeddings & Vector Search
  Understanding embeddings, semantic search, similarity matching and vector-based information retrieval
• Vector Databases
  Storing, indexing and retrieving vector representations for AI-powered applications
• Retrieval-Augmented Generation
  Knowledge sources, document processing, retrieval pipelines, context injection and RAG application architecture
• AI Agents & Agent Architecture
  Agent instructions, planning, memory concepts, tools, workflows and multi-step task execution
• Function & Tool Calling
  Connecting AI models with application functions, APIs, databases and external services
• AI Workflow Automation
  Designing AI-assisted workflows for repetitive business, information and productivity tasks
• Multi-Step AI Application Workflows
  Combining models, tools, application logic and external services into structured AI workflows
• AI-Assisted Software Engineering
  Using AI for coding, debugging, refactoring, documentation, testing and development productivity
• AI Application Security & Responsible Development
  Data privacy, prompt risks, access control, sensitive information handling and responsible AI practices
• Full Stack Business Application Project
  Designing and developing a complete application with frontend, backend, database, authentication and APIs
• RAG-Based AI Application Project
  Building an AI application that retrieves information from a structured knowledge source
• AI Agent Application Project
  Developing an application where an AI agent interacts with tools, application services or external data
• Cloud Deployment Project
  Deploying and configuring a full-stack application in a cloud-based environment
• Professional Capstone Project
  Planning, developing, testing, documenting, deploying and presenting a complete AI-powered full-stack application