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Artificial Intelligence · Course

Gen AI + Agentic AI

Design AI assistants, autonomous workflows, and the next generation of intelligent products.

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✓12 weeks✓Live + project-based✓Job-ready portfolio
Program overview

Build skills
that compound.

Learn the complete journey from LLM foundations to reliable agentic systems: prompt engineering, RAG, tool calling, planning, memory, LangGraph workflows, multi-agent automation and production deployment.

  • ✓Live, instructor-led sessions
  • ✓A real project after every module
  • ✓1:1 mentorship and code reviews
  • ✓Career and interview preparation
The syllabus / 6 months

A clear path from
first principles to shipped work.

Each month combines focused modules with a project that turns new skills into something real.

01

Python, AI & LLM Foundations

Python for AI engineering

  • Advanced Python and OOP
  • Decorators, generators and type hints
  • Async/await and streams
  • Packages, logging and configuration

AI + LLM APIs

  • AI, ML and deep learning
  • Tokens, context and temperature
  • OpenAI and Gemini
  • Structured output, streaming, rate limits and cost
PROJECTAI Text Generator, Content Assistant and Structured Data Extractor.
02

Generative AI & Advanced RAG

AI application architecture

  • LLM application patterns
  • Context management
  • Prompt versioning
  • Streaming and observability fundamentals

RAG engineering

  • Embeddings and cosine similarity
  • pgvector and hybrid search
  • PDF ingestion and chunking
  • Reranking, query transformation and evaluation
PROJECTAI Knowledge Assistant with document processing, semantic search, RAG answers and source references.
03

AI Agents & Tool Calling

Agentic AI

  • Agent architecture
  • Goal, plan, tool, observe and act loop
  • Tool schemas and selection
  • Security and error handling

LangChain + memory

  • Models, prompts, tools and chains
  • Retrievers
  • Short and long-term memory
  • Database-backed conversation history
PROJECTPersonal AI Assistant that searches, calculates, reads documents, remembers and accesses a database.
04

Agent Workflows & LangGraph

Workflow design

  • Sequential, conditional and parallel workflows
  • Loops and retries
  • Human-in-the-loop approvals
  • Error recovery and checkpoints

Planning + reliability

  • Graph nodes, edges and state
  • Planning multi-step tasks
  • Guardrails and structured outputs
  • Fallbacks and infinite-loop prevention
PROJECTAI Research Agent that plans research, compares sources and requires approval before publication.
05

Multi-Agent Systems & Automation

Multi-agent architecture

  • Specialist agents
  • Supervisors and worker agents
  • Shared state and coordination
  • Research, data, coding and content agents

Business automation + security

  • REST APIs, CRM, email and webhooks
  • Natural-language-to-SQL
  • Prompt injection and data leakage
  • Permissions, validation and untrusted content
PROJECTMulti-Agent Business Automation system with lead qualification, research, email, CRM and approval workflow.
06

Production AI Engineering

Production architecture

  • React, FastAPI and orchestrator design
  • Observability and traces
  • Evaluation and groundedness
  • Token and model cost optimization

Deployment + APIs

  • Docker and cloud deployment
  • AI agent APIs
  • Authentication and async processing
  • Background tasks and streaming concepts
PROJECTProduction AI Agent Platform: sales, customer support, HR recruitment, research or business operations.
Your toolkit

Technology
you will use.

PythonAsync PythonOpenAIGoogle GeminiPrompt engineeringLangChainLangGraphRAGEmbeddingsPostgreSQLpgvectorFastAPIReact.jsDocker
Career outcomes

Ready for your
next role.

01Generative AI Developer
02AI Engineer
03Agentic AI Engineer
04AI Automation Engineer
05LLM Application Developer
06RAG Developer
Project portfolio

Leave with proof,
not just notes.

01AI Content Generator
02AI Data Extraction System
03RAG Knowledge Assistant
04Personal AI Assistant
05AI Research Agent
06Multi-Agent Business Automation
07Production AI Agent Capstone