Agentic AI
Build the future of AI. Learn to create autonomous agents that can reason, plan, and execute complex tasks using LLMs and modern frameworks.
What You'll Learn
This cutting-edge program focuses on the rapidly evolving field of AI agents. You'll learn to harness the power of Large Language Models to build systems that can autonomously complete complex tasks, reason about problems, and interact with external tools and APIs.
Why Learn Agentic AI?
The next frontier in artificial intelligence is here
Revolutionary Technology
AI agents represent the next evolution of AI. They can reason, plan, and execute complex tasks autonomously.
Explosive Demand
Companies are racing to integrate AI agents. Skilled developers who can build these systems are highly sought after.
Practical Applications
From customer service bots to research assistants, code generators to data analysts - AI agents are transforming every industry.
Powerful Frameworks
LangChain, AutoGen, CrewAI - learn the tools that make building sophisticated AI systems accessible.
Build Real Products
Create chatbots, research assistants, document Q&A systems, and multi-agent workflows that solve real problems.
Premium Career Path
AI engineers with agent-building skills command top-tier salaries. This is one of the most in-demand specializations in tech.
Career Opportunities
Roles you can pursue after mastering Agentic AI
AI Agent Developer
Build autonomous AI agents using LangChain, AutoGen, and modern frameworks.
Hot SkillConversational AI Engineer
Design and build intelligent chatbots and virtual assistants for enterprises.
High DemandRAG Systems Developer
Build knowledge retrieval systems that connect LLMs to enterprise data.
TrendingLLM Application Developer
Integrate LLM capabilities into applications and build AI-powered products.
High DemandPrompt Engineer
Optimize prompts and design effective AI interactions for enterprise applications.
GrowingAI Solutions Architect
Design end-to-end AI solutions combining agents, RAG, and enterprise systems.
Senior RoleTechnologies Deep Dive
Master the cutting-edge AI agent technology stack
LLMs & APIs
OpenAI (GPT-4)
Industry-leading LLM with function calling, vision, and code generation capabilities.
Anthropic (Claude)
Safe, helpful AI with long context windows and excellent reasoning abilities.
Local LLMs (Ollama)
Llama, Mistral, and other models for on-premise and cost-effective deployments.
Embeddings
OpenAI, Cohere, and sentence-transformers for semantic search and RAG.
Agent Frameworks
LangChain
The most popular framework for building LLM applications with chains and agents.
Chains & LCEL
Build composable AI pipelines with LangChain Expression Language.
LangGraph
Build complex, stateful multi-actor AI applications with graph workflows.
AutoGen
Microsoft's framework for building multi-agent conversational systems.
CrewAI
Framework for orchestrating role-playing, autonomous AI agents.
Agent Architectures
Design patterns: ReAct, Plan-and-Execute, Reflection, Router, Multi-Agent.
OpenAI Assistants
OpenAI's official API for building stateful agents with threads and tools.
DSPy
Stanford's declarative framework for optimizing LLM prompts programmatically.
Semantic Kernel
Microsoft's enterprise SDK for building AI applications with plugins.
Haystack
Production-ready framework for building search and RAG pipelines.
RAG & Infrastructure
Vector Databases
Pinecone, Chroma, Weaviate, and Qdrant for storing and retrieving embeddings.
LlamaIndex
Data framework for connecting LLMs to custom data sources and knowledge bases.
GraphRAG
Combine knowledge graphs with RAG for complex multi-hop reasoning queries.
Agent Memory
Short-term, long-term, episodic & semantic memory for conversational agents.
MCP Protocol
Anthropic's Model Context Protocol for universal AI tool integration.
LangSmith
Observability and debugging platform for LLM applications.
Agent Safety
Guardrails, input validation, output filtering for production AI agents.
Advanced & Production
Multimodal Agents
Build agents that process images, audio, and video with GPT-4V and Claude Vision.
Browser Agents
AI-powered web automation with Playwright for scraping and task automation.
Voice Agents
Speech-enabled AI with Whisper and TTS for voice conversations.
Streaming Responses
Real-time AI output with SSE, WebSockets, and async streaming.
Cost Optimization
Reduce LLM costs with caching, token optimization, and model selection.
Agent Evaluation
Test and benchmark AI agents with RAGAS, DeepEval, and LLM-as-judge.
Curriculum Overview
A comprehensive journey into the world of AI agents
- How LLMs Work (Transformers, Attention)
- OpenAI, Anthropic, & Open Source Models
- API Integration & Best Practices
- Token Management & Cost Optimization
- Model Selection for Different Tasks
- Prompt Design Principles
- Few-Shot & Chain-of-Thought Prompting
- System Prompts & Personas
- Output Formatting & Structured Generation
- Prompt Templates & Management
RAG Systems
- Vector Databases (Pinecone, Chroma, Weaviate)
- Embeddings & Semantic Search
- Document Chunking Strategies
- Retrieval Optimization
- Hybrid Search, Reranking & GraphRAG
LangChain Deep Dive
- Chains & LCEL (LangChain Expression Language)
- Memory & Conversation Management
- Tools, MCP & Function Calling
- Agents & Agent Executors
- LangGraph for Complex Workflows
Multi-Agent Systems
- Agent Architectures & Patterns
- AutoGen for Agent Collaboration
- CrewAI for Task-Oriented Agents
- OpenAI Assistants API
- Orchestrating Complex Workflows
Production & Deployment
- Building AI APIs (FastAPI)
- Streaming Responses
- LangSmith for Observability
- Guardrails & Safety
- Cost Management & Evaluation
Projects You'll Build
Cutting-edge AI projects that showcase your skills
Intelligent Chatbot
Build a context-aware chatbot with memory, personality, and the ability to use external tools.
Key Features:
- Conversation memory and context tracking
- Custom personality and system prompts
- Tool integration (web search, calculator)
- Streaming responses with Streamlit UI
Document Q&A System
Create a RAG application that answers questions about uploaded documents with citations.
Key Features:
- PDF and document ingestion pipeline
- Semantic chunking strategies
- Hybrid search with reranking
- Answer with source citations
Research Agent Team
Build a multi-agent system where agents collaborate to research topics and write reports.
Key Features:
- Specialized agent roles (researcher, writer, editor)
- Web search and data gathering
- Collaborative workflow orchestration
- Output quality validation
Code Assistant Agent
Create an AI coding assistant that can understand codebases, write code, and debug issues.
Key Features:
- Codebase understanding with RAG
- Code generation and refactoring
- GitHub integration for PRs
- Stateful conversation with LangGraph
Skills You'll Master
Technical skills to build production-grade AI agents
Technical Skills
Professional Skills
Who Is This Program For?
Software Developers
Developers who want to integrate AI capabilities into their applications.
Data Scientists
ML practitioners looking to expand into the LLM and agent space.
AI Enthusiasts
Anyone passionate about AI who wants to build practical applications.
Prerequisites
- Python programming proficiency
- Basic understanding of APIs
- Familiarity with web development concepts
- Curiosity about AI and LLMs
No prior AI/ML experience required - we focus on practical application, not theory!
Frequently Asked Questions
Everything you need to know about our Agentic AI program
Do I need ML/AI experience to join?
No prior AI/ML experience required! We focus on practical application using APIs and frameworks, not deep learning theory. Python proficiency is sufficient.
What is the program duration?
The program runs for 6 months with flexible scheduling. Sessions are personalized 1:1 to fit your availability.
What makes this different from online courses?
The AI agent landscape changes rapidly. Our 1:1 mentorship keeps you updated with the latest frameworks and best practices as they emerge.
Will I need to pay for API costs?
We guide you on using free tiers and cost-effective strategies. Most projects can be completed with minimal API costs (often under $10-20 total).
What kind of projects will I build?
You'll build chatbots, document Q&A systems, research agents, and multi-agent systems - all deployable, production-ready applications.
Is this relevant for enterprise roles?
Yes! Enterprise adoption of AI agents is accelerating. We cover production concerns like cost management, safety, and observability.
How is the mentorship conducted?
Sessions are 1:1 with your mentor, either online or at our Kochi center. You get personalized attention, code reviews, and career guidance.
What kind of support do I get?
Beyond sessions, you get doubt clearing support, project guidance, interview preparation, and access to our AI community.
Ready to Build the Future of AI?
Book a free consultation to discuss your goals and start your journey into Agentic AI.