Build Intelligent Agents. Master Generative AI & LLMs.
Our Gen AI & Agentic AI Course in Pune teaches you to build autonomous AI agents with large language models — LLMs, RAG pipelines, prompt engineering, LangChain, memory systems and real-world deployments, all through hands-on AI projects and production-grade applications.
Why Technogeeks X AI
Cutting-edge AI training taught by practitioners building production AI systems.
LLM-First Curriculum
Every module builds around large language models and their real-world applications.
Agentic AI Design
Build autonomous agents with reasoning, memory and tool use from day one.
RAG & Vector Databases
Master Retrieval-Augmented Generation for grounded, contextual AI responses.
Production Deployment
Deploy AI agents to APIs, web apps and cloud platforms used by real users.
AI Engineers as Mentors
Learn from practitioners building AI products at startups and enterprises.
AI Career Pipeline
1500+ AI engineers and prompt engineers hired from our alumni.
Real AI skills, production-grade expertise
By course end, you'll build and deploy intelligent autonomous agents like a senior AI engineer.
Understand
How LLMs work, tokenization, embeddings and fine-tuning for specialized tasks.
Prompt
Advanced prompting techniques, chain-of-thought and few-shot learning patterns.
Retrieve
Build knowledge-grounded AI with vector databases and semantic search.
Deploy
Design autonomous agents with reasoning loops, memory and tool orchestration.
Everything an AI Engineer needs
One complete toolkit — each skill taught through building real AI products.
ENGINEER
- LLMs
- GPT/Claude
- Embeddings
- RAG
- LangChain
- Agents
- Vector DB
- Prompting
- Fine-tuning
- Deployment
From idea to deployed AI agent
The same workflow used by OpenAI, Anthropic and cutting-edge AI startups.
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01
Define Task
Requirements · Use Cases · Goals
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02
Design Agent
Architecture · Tools · Memory
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03
Build & Integrate
LangChain · APIs · Embeddings
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04
Evaluate & Optimize
Metrics · Prompting · Fine-tune
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05
Test & Deploy
Unit Tests · CI/CD · Cloud Deploy
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06
Monitor & Iterate
Logging · Feedback · Improvement
Capstone projects you'll build & deploy
AI agents that solve real business problems — from research to customer support.
Research AI Agent
Problem — Build an agent that researches topics across internet and summarizes findings.
Architecture — LLM + Search tools + Document processing + Multi-turn memory.
Outcome — Agent handles 1000+ queries/day with 97% accuracy.
RAG-Powered Chatbot
Problem — Answer customer questions based on company knowledge base without hallucinations.
Architecture — Vector DB (Pinecone) + Embeddings + LangChain RAG + FastAPI.
Outcome — Context-aware bot with 95% factual accuracy.
Autonomous Code Agent
Problem — AI agent that understands code and suggests improvements autonomously.
Architecture — Code analysis tools + LLM reasoning + Git integration + CI/CD.
Outcome — Agent reviews 500+ PRs/week with expert-level suggestions.
Five phases, one integrated program
Master Gen AI and Agentic AI through progressive, practical learning.
How LLMs work, transformer architecture, tokenization, embeddings, and using OpenAI/Claude/Gemini APIs effectively.
Advanced prompting techniques, chain-of-thought, few-shot learning, system prompts and prompt optimization for production.
Retrieval-Augmented Generation, vector embeddings, semantic search, Pinecone, Weaviate and knowledge-grounded AI systems.
Building agents with LangChain, tool orchestration, memory systems, state management and multi-step reasoning loops.
Deploying AI agents to APIs, web apps, cloud platforms, monitoring performance, handling failures and iterative improvement.
AI Engineer Certified
Prove your AI engineering expertise through capstone projects and live evaluations.
- Portfolio ProjectsThree deployed AI agents on your GitHub for employers to review.
- LinkedIn & GitHubShowcase live AI projects demonstrating production expertise.
- Expert ReviewYour work reviewed and approved by AI engineers from top companies.
- Job-ReadyRecognized by AI startups and tech companies hiring AI engineers.
Build intelligent agents from day one
Every module includes hands-on coding labs building actual AI agents that think and act.
- Define GoalDescribe what the agent should accomplish
- Design ToolsCreate tools the agent can use to solve the task
- Build AgentImplement reasoning loop and memory
- Test & EvaluateRun agent on test cases and measure success
- OptimizeImprove prompts, tools and reasoning
Hands-on with Cutting-Edge AI.
Access to the latest LLM APIs, vector databases and agentic frameworks.
Where this course leads
Learn
LLMs, RAG, agents, prompt engineering and deployment patterns.
Build
Three capstone AI agents deployed on GitHub and live APIs.
Portfolio
Showcase production-grade AI projects to hiring managers.
Interview
Mock rounds with AI engineers from top companies.
Launch
Apply for AI roles with dedicated mentor support.
Support beyond the curriculum
Portfolio Projects
Build and deploy three AI projects for your GitHub portfolio.
Mock Interviews
AI engineering technical interviews with expert feedback.
Code Reviews
Expert review of your AI agent code and architecture.
1-on-1 Mentorship
Guidance from AI engineers at OpenAI, Anthropic partners.
AI Jobs Board
Access to AI engineer roles at startups and enterprises.
Resume & LinkedIn
AI-focused resume templates and profile optimization.
Alumni at AI Frontiers
AI engineers trained here now build the next generation of intelligent systems.
Course Snapshot
Gen AI & Agentic AI Program
Gen AI & Agentic AI Course
₹35,000 / full program
No-cost EMI options available
- + Live instructor-led sessions (4 months)
- + 40+ hands-on AI labs and coding exercises
- + 3 production-grade capstone AI projects
- + Access to all LLM APIs and vector databases
- + Portfolio review & job placement support
Frequently asked questions
A cutting-edge program covering LLMs, prompt engineering, RAG systems and building autonomous AI agents using frameworks like LangChain.
Software engineers, data scientists, product managers and anyone wanting to build AI products and intelligent systems.
Yes — Phase 01 covers fine-tuning for specialized tasks, prompt optimization and model selection strategies.
OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), and open-source models like Llama and Mistral.
Yes — Phase 03 is dedicated to RAG systems, vector embeddings, semantic search and knowledge-grounded AI.
Phase 04 covers LangChain extensively, plus other frameworks like AutoGPT, ReAct patterns and multi-step reasoning.
Yes — all three capstone agents are deployed to live APIs and GitHub, ready to show employers.
Portfolio guidance, mock interviews, LinkedIn optimization and direct access to AI job board with placement support.
Yes — both live online and in-person (Pune) batches with flexible timings.
Yes — book a free counselling call to attend a live demo and speak with instructors.