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Industrial Training High demand 2026

Generative AI & Agentic AI Course in Lucknow & Online

Create | Automate | Augment | Build the Next AI Era.

Course at a glance
Generative AI & Agentic AI at BPST Academy, Lucknow is a 45 days or 3 months · 6 months beginner-friendly course covering LLM Foundations, Prompt Engineering, RAG Systems, Frameworks. It suits forward-looking developers and students who want to build modern agentic applications and generative AI systems. Classes run in the Lucknow classroom and live online. Until Diwali (8 Nov 2026) you can pre-book a seat for ₹49, adjusted in the course fee.
Duration
45 Days · 3 Months · 6 Months
Level
Beginner friendly
Mode
Classroom · Online
Pre-book
₹49 till Diwali
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Reserve your seat in the next Generative AI & Agentic AI batch. Adjusted in your course fee.

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What Is the Generative AI & Agentic AI Course?

Learn the cutting-edge generation of AI with Large Language Models (LLMs), Retrieval Augmented Generation (RAG), autonomous AI agents, and intelligent workflows.

What Does the Generative AI & Agentic AI Course Cover?

  • Prompt Engineering: Zero-shot, few-shot, chain-of-thought, system prompts, structured JSON output
  • LLM Foundations: How transformers work, tokens, context windows, temperature, embeddings
  • RAG (Retrieval Augmented Generation): Document chunking, vector embeddings, similarity search
  • AI Workflows & Automation: Connecting LLMs to databases, internal APIs, and workflows
  • AI Agents & Multi-Agent Concepts: ReAct loop, tool calling, reasoning, memory systems
  • Tool Integration: LangChain, LlamaIndex, function calling with external APIs
  • AI Application Development: Building interactive chatbots, assistants, and document search

Generative AI & Agentic AI Syllabus — Module by Module

Module 01
LLM Foundations
  • How LLMs work
  • Tokens, context, temperature
  • OpenAI, Gemini, Claude APIs
  • Cost & safety
Module 02
Prompt Engineering
  • Zero/few-shot prompting
  • Chain-of-thought
  • Structured outputs (JSON)
  • Evaluation
Module 03
RAG Systems
  • Embeddings
  • Vector DBs: Chroma, Pinecone
  • Chunking & retrieval
  • Citations
Module 04
Frameworks
  • LangChain
  • LlamaIndex
  • Tool / function calling
  • Memory
Module 05
Agentic AI
  • Agent loops & planning
  • Multi-agent workflows
  • Tool integration
  • Guardrails
Module 06
Productionizing
  • FastAPI back-end
  • Chat UI
  • Monitoring
  • Cloud deployment

What Will You Learn Week by Week?

Choose the format that fits your semester or career plan. Each roadmap ends with a deployed project.

Prompting, LLMs & tools Hands-on LLM API projects
Weeks 1–2
Fundamentals & Prompting
Prompt techniques, token economics, API client integration
Weeks 3–4
LLMs, RAG & Tools
Embeddings, vector stores, simple retrieval augmented generation
Weeks 5–6
Build AI Apps & Agents
Function calling, simple agentic loop, deploying an AI assistant
Agents, workflows & RAG pipelines Weekly agent labs & deployment
Weeks 1–4
Core Concepts & Tools
Deep LLM mechanics, embeddings, vector indexing, LangChain basics
Weeks 5–8
AI Workflows & Agents
Autonomous agents, memory retention, tool usage, multi-turn reasoning
Weeks 9–12
Projects & Deployment
Multi-document RAG assistant, streaming responses, FastAPI deployment
Enterprise Multi-Agent Engineering Autonomous agent systems & industry use cases
Weeks 1–4
Fundamentals & Architecture
Model architectures, evaluation metrics, security and prompt injection prevention
Weeks 5–12
Advanced AI & Multi-Agents
Multi-agent orchestration (supervisor/worker patterns), evaluation frameworks
Weeks 13–24
Real-World Projects & Industry Use Cases
Enterprise knowledge assistants, automated code review bots, deployment, interview prep

Projects, Outcomes & Tools

Enterprise Technical Documentation RAG AssistantSimulated Industry Sprint

Indexes thousands of PDF/code documents and answers queries with citations.

LangChainVector DBFastAPIPython
Multi-Agent Research & Competitive Analysis BotGuided Portfolio Project

Coordinated autonomous agents scraping data, synthesizing findings, and generating summaries.

PythonTool CallingGemini API

How Is Generative AI & Agentic AI Taught at BPST Academy?

Every batch follows our simulated software-company model: fundamentals first, daily hands-on coding, team formation with real roles, Agile sprints with daily stand-ups, code reviews, testing and live deployment — guided by working IT professionals who act as your project managers.

Daily hands-on practice

Write and debug code in every session, not just watch slides.

Mentor as project manager

Sprints, pull-request reviews and deadlines like a real team.

Live, demo-able projects

Your work goes on GitHub and a live URL recruiters can open.

Generative AI & Agentic AI — Frequently Asked Questions

Generative AI & Agentic AI runs for 45 Days · 3 Months · 6 Months. You can study in the Lucknow classroom (3rd Floor, Sahay Complex, Near IIM Tiraha) or join the same batch live online from anywhere in India.

Forward-looking developers and students who want to build modern agentic applications and generative AI systems. Prerequisite: Basic Python programming understanding.

The course fee depends on the duration and mode you choose and is shared with you on WhatsApp right after pre-booking. As a Diwali gift, you can reserve your seat for just ₹49 until 8 November 2026 (23:59 IST). The ₹49 is adjusted in your course fee.

Yes. BitProSoftTech training certificate; 6-month program includes an internship letter. You also leave with project work you can show to employers.

Yes — we provide job assistance: resume and LinkedIn/Naukri profile reviews, mock technical and HR interviews, and relevant interview opportunities. We do not make placement-guarantee claims; we make sure your skills and portfolio are genuinely job-ready.

Last updated 2026-09-25

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