Generative AI with LLMs & LangChain – Master AI-Powered Development
The rise of Large Language Models (LLMs) is revolutionizing AI-driven applications, from chatbots to autonomous agents. Our Generative AI Course in Lucknow is designed to provide hands-on expertise in LLMs, LangChain, Prompt Engineering, Vector Databases, and AI Agent Development using open-source tools like Llama, GPT-J, Hugging Face, ChromaDB, and more.
At LogicPro InfoSystems, we focus on real-world applications of Generative AI, ensuring you gain practical experience in building custom AI solutions, retrieval-augmented generation (RAG) systems, and intelligent AI agents using cutting-edge frameworks.
Why Choose Our Generative AI Training in Lucknow?
✅ Specialized Curriculum – Focus on LLMs, LangChain, RAG, and AI Agents.
✅ Hands-on Learning – Build real-world AI applications with open-source models.
✅ Expert-Led Training – Learn from AI professionals and industry practitioners.
✅ Placement Assistance – Resume building, interview preparation, and job referrals.
✅ Flexible Learning Options – Available in both classroom & online modes.
What You Will Learn?
Our Generative AI with LLMs & LangChain Course is structured to help you understand, fine-tune, and deploy AI models efficiently.
Module 1: Introduction to Generative AI & LLMs
- Evolution of Generative AI & Language Models
- Understanding GPT-4, Llama, Falcon, and other Open-Source LLMs
- Applications of Generative AI in Business & Industry
Module 2: Prompt Engineering & LLM Fine-Tuning
- Crafting Effective Prompts for Text Generation & Reasoning Tasks
- Advanced Prompting Techniques: Chain-of-Thought, Few-Shot, and Self-Consistency
- Fine-Tuning Open-Source LLMs for Domain-Specific Applications
Module 3: LangChain for AI-Powered Development
- Introduction to LangChain Framework – Why it’s Essential for LLMs
- Building LLM-Powered Applications with LangChain Agents
- Connecting LLMs to External Data Sources & APIs
Module 4: Vector Databases & Retrieval-Augmented Generation (RAG)
- What is Vector Search?
- Introduction to ChrmaDB for Efficient Retrieval
- Implementing RAG with LLMs for Context-Aware Responses
- Hybrid Search & Memory-Augmented AI Systems
Module 5: Autonomous AI Agent Development
- What are AI Agents & How Do They Work?
- Implementing Agents with LangChain & Function Calling
- Building Multi-Agent Systems for Complex Workflows
- AI Automation: Integrating Agents with External APIs
Module 6: Deploying & Scaling LLM Applications
- Running LLMs on Cloud & Local Servers
- Fine-Tuning & Quantization of LLMs for Efficient Performance
- Deploying AI Agents using FastAPI & Streamlit
- Best Practices for Scaling AI-Powered Systems
Module 7: Capstone Project – Build a Real-World AI Application
- Develop an AI-Powered Chatbot, RAG System, or Autonomous Agent
- Deploy Your Project Using LangChain, Vector Databases & LLMs
- Showcase Your Work & Build Your AI Portfolio
Who Should Enroll in This Course?
This Generative AI Training in Lucknow is perfect for:
✔ Software Developers & Engineers looking to build LLM-powered applications.
✔ Data Scientists & AI Enthusiasts exploring AI Agents & RAG Systems.
✔ Startup Founders & Entrepreneurs developing AI-driven products.
✔ Tech Professionals aiming to stay ahead in AI & LLM advancements.
Key Outcomes of This Course
🎯 Master LLMs & LangChain for AI application development.
🎯 Build & Deploy RAG-Powered AI Systems for real-world use cases.
🎯 Develop Autonomous AI Agents that interact with multiple APIs & databases.
🎯 Work with Vector Databases to enhance AI memory & retrieval capabilities.
🎯 Gain Hands-on Experience with open-source AI tools & frameworks.
Why Build a Career in Generative AI & LLM Development?
🤖 LLMs are Transforming Industries – AI-powered automation is growing rapidly.
💰 High-Paying Job Opportunities – AI Developers & ML Engineers are in demand.
🌍 Global Career Scope – Work in AI research, software development, and AI consulting.
🚀 Future-Proof Your Skills – Stay ahead in the evolving AI ecosystem.
Enroll for Our Generative AI Training Today!
