Advanced Generative AI and Agentic AI Training in Pune equips you with LLMs, AI agents, automation workflows, and real-world projects to build intelligent, scalable AI solutions.
Level
Advanced
Duration
8 Weeks
Placement Client
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About Advanced Generative AI And Agentic AI Training In Pune
Advanced Generative AI and Agentic AI Training in Pune is a career-focused program designed to help learners master large language models (LLMs), AI agents, and intelligent automation systems. This training covers prompt engineering, RAG architecture, multi-agent orchestration, and real-world AI application development. You will work with modern frameworks to build chatbots, autonomous task agents, and enterprise AI workflows. The program emphasizes hands-on projects, deployment strategies, and performance optimization to prepare you for AI developer, GenAI engineer, and automation architect roles in leading tech companies.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Advanced Generative AI And Agentic AI Training In Pune Course Curriculum
Python for AI & Automation (Foundation Layer)
Python for AI & Automation (Foundation Layer) builds core Python skills to automate tasks and create a strong base for AI and machine learning development.
Introduction to Agentic AI & LLM Ecosystem
A foundational overview of how autonomous AI agents work with large language models to plan, reason, and execute tasks across modern AI systems.
Basics of LangChain and LangGraph
An introductory overview of using LangChain and LangGraph to build, connect, and orchestrate intelligent, multi-step AI workflows.
Exploring LangGraph Core Concepts
A concise introduction to building stateful, multi-step AI workflows using LangGraph for agent orchestration and decision-making.
Python SDK and Node Configuration
An overview of setting up the Python SDK and configuring nodes to build, connect, and manage scalable AI workflows efficiently.
Multi-Agent Setup with LangGraph
A practical introduction to designing and orchestrating multiple AI agents that collaborate and share state using LangGraph.
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Who Should Take Advanced Generative AI And Agentic AI Training In Pune
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For Advanced Generative AI And Agentic AI Training In Pune
AI Systems Architect
Agentic AI Developer
Senior Machine Learning Engineer
ML Ops Engineer
NLP Engineer
AI Research Engineer
AI Solutions Architect
AI Platform Engineer
AI Systems Architect
Agentic AI Developer
Senior Machine Learning Engineer
Key Projects
Advanced Generative AI And Agentic AI Training In Pune
Enterprise Multi-Agent AI System – Pune Industry Use Case
In this project, learners design and deploy a multi-agent AI system that collaborates to solve complex business tasks. The architecture includes reasoning agents, memory layers, tool usage, and task orchestration aligned with real-world enterprise use cases in Pune’s growing AI ecosystem. • Design autonomous agents with planning, memory, and reasoning capabilities. • Implement agent-to-agent communication and task delegation workflows. • Integrate APIs, databases, and external tools for real automation. • Evaluate performance, reliability, and response accuracy.Key Highlights:
Retrieval-Augmented Generation (RAG) with Private Knowledge Base - Hinjewadi, Pune
Build a production-ready RAG system using vector databases and embeddings. Learners will integrate enterprise documents, optimize chunking strategies, and reduce hallucinations to create accurate, context-aware AI systems suitable for organizations in Pune. • Implement embedding models and semantic search pipelines. • Build vector database indexing and document retrieval systems. • Optimize prompt engineering and response grounding techniques. • Deploy a scalable, secure knowledge-based AI assistant.Key Highlights:
Autonomous AI Workflow Automation & Tool Integration - Magarpatta Tech Park, Pune
Develop an intelligent AI automation platform capable of planning, executing, and monitoring complex workflows. This project demonstrates how agentic AI systems can automate analytics, reporting, and operational tasks for modern enterprises in Pune. • Implement reasoning loops with planning and execution stages. • Connect AI agents with REST APIs, databases, and cloud services. • Build monitoring dashboards for workflow tracking. • Optimize latency, token usage, and system scalability.Key Highlights:
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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