Immersive Learning Experience
Blended, immersive agentic AI classroom training with live-streamed sessions and real-time interaction.
- Immersive classroom experience
- Blended online learning
- Live DoubtBuster sessions
- Real-time interaction
Manyata Tech Park, Bengaluru
Generative AI & Agentic AI Development
Agentic AI is the next evolution in AI-powered applications — systems that think, plan, reflect, and act on behalf of users. Learn to build intelligent, autonomous and multi-modal Agentic AI systems using Generative AI LLMs, RAG, planning agents, tool use and agent orchestration frameworks.
Build practical skills to create real-world agentic systems, from single agents to multi-agent ecosystems.
- 200+
- Hours of learning & practical
- 15+
- Real-world agentic projects
- 15+
- AI tools & technologies
- Dual
- Certification
Boston Institute of Analytics
Manyata Tech Park
Course Overview
Generative AI Course and Agentic AI Development Course Overview
An immersive, globally recognized program that combines academic depth with practical, real-world agentic learning — taking you from Generative AI fundamentals to production multi-agent systems.
Hands-On Agent Development
Learn by building — 200+ hours of practical exercises shipping real agentic systems end to end.
- 200+ hours of learning & practical
- 15+ real-world agentic projects
- 15+ AI tools & technologies
- Prompt engineering & autonomous reasoning
Advanced Agentic Systems
Master the frameworks and infrastructure behind production-grade autonomous AI systems.
- Advanced agentic frameworks
- Multi-modal RAG systems
- Vector database management
- Deployment & AgentOps
Career Support & Beyond
From mentorship to placement — guided at every step, with exclusive access to hiring partners.
- 360° career support
- Exclusive job opportunities portal
- 1:1 mentorship & interview prep
- No-cost EMI options available
Ideal Candidates
AI/ML engineers eager to build real-world autonomous agents, data scientists exploring intelligent systems, software developers who want to productize Generative AI capabilities, founders & product leaders building AI-first applications, and researchers & students looking to understand next-generation AI systems.
Minimum Eligibility
Basic Python skills — variables, loops, functions and APIs; familiarity with LLMs or Generative AI such as ChatGPT or Claude; and an interest in building real-world AI applications. No prior Agentic AI knowledge is required.
Tools & frameworks
15+ Generative AI Tools, Frameworks & Technologies Covered
OpenAI
Google Gemini
LangChain
AutoGen
Hugging Face
CrewAI
Meta Llama
LangGraph
Perplexity
RAG & Vector Databases
Docker
Multimodal AI
FastAPI
AgentOps
Streamlit
Gradio
Midjourney
OpenAI
Google Gemini
LangChain
AutoGen
Hugging Face
CrewAI
Meta Llama
LangGraph
Perplexity
RAG & Vector Databases
Docker
Multimodal AI
FastAPI
AgentOps
Streamlit
Gradio
Midjourney
Learning Paths
Choose the learning path that fits your goals
Three structured pathways into Generative AI & Agentic AI development — each with a clear duration, a focused curriculum and a direct route to dual certification. Start where you are and grow from there.
Certification
4 months
Build core Generative AI fluency — LLMs, prompt engineering, autonomous reasoning and your first agentic systems.
- LLMs & prompt engineering
- RAG fundamentals
- First autonomous agents
Diploma
6 months — includes 2 months internship
Go deeper into multi-modal RAG, agentic frameworks and multi-agent collaboration, with hands-on projects across the full pipeline.
- LangChain, AutoGen, CrewAI & LangGraph
- Multi-modal RAG systems
- Multi-agent collaboration
Master Diploma
10 months — includes 6 months on-job training
Master the full spectrum — from Generative AI fundamentals to AgentOps, voice agents and a deployed capstone, with 6 months on-job training as an Agentic AI Developer.
- AgentOps & production deployment
- Voice + avatar agents
- Capstone & on-job training
BIA® Dual Certification In Two Most In-Demand And Highly Paid Skills
Syllabus
Syllabus for Generative AI Course & Agentic AI Course
A 200+ hours expert-led program designed to equip developers, data scientists and innovators with the skills to build intelligent, autonomous agents powered by Generative AI. The course focuses on hands-on development using frameworks such as LangChain, AutoGen, CrewAI and LangGraph — combining academic depth with practical, real-world learning delivered by industry-expert trainers.
Foundations of Agentic AI & Generative Intelligence
How LLMs work and how agents differ from ordinary applications — intelligent agent design, autonomy, tool use and the architecture of modern agentic systems.
- LLMs
- Agent design
- Autonomy
Prompt Engineering & Autonomous Reasoning
Advanced prompting, planning and memory techniques that let agents reason step by step, reflect on their output and act without hand-holding.
- Prompting
- Planning
- Memory
RAG & Multi-modal Systems
Build retrieval-augmented generation pipelines over text, image, video and structured data — with vector database management for grounded, cited answers.
- RAG
- Vector databases
- Multi-modal
Fine-Tuning LLMs
Adapt open and commercial models to your domain — dataset preparation, fine-tuning strategies and evaluation for production quality.
- Fine-tuning
- Evaluation
- Domain adaptation
Agentic Frameworks
Hands-on development with the frameworks powering the agent ecosystem — LangChain, AutoGen, CrewAI, LangGraph and MetaGPT.
- LangChain
- AutoGen
- CrewAI
- LangGraph
- MetaGPT
Multi-Agent Collaboration & Communication
Design agent teams that delegate, negotiate and collaborate — orchestration patterns, tool use and inter-agent communication.
- Orchestration
- Tool use
- Collaboration
Real-Time & Event-Driven Agents
Build agents that react to live events and streams — event-driven architectures, streaming responses and real-time interaction.
- Real-time
- Event-driven
- Streaming
AgentOps & Scaling in Production
Take agents from demo to production — deployment with guardrails, behaviour monitoring, evaluation and scaling.
- Guardrails
- Monitoring
- Scaling
Voice + Avatar Agents
Create agents that speak and show a face — text-to-speech, speech-to-text, lip sync and avatar-driven interaction.
- TTS
- STT
- Lip sync
Agent Evaluation & AI Governance
Measure what your agents do — evaluation frameworks, safety guardrails and AI governance for responsible deployment.
- Evaluation
- Safety
- Governance
Enterprise AI Use Cases
Apply agentic AI where enterprises need it most — finance, healthcare, legal, retail and SaaS workflow automation.
- Finance
- Healthcare
- Legal
Capstone Project
Build and deploy a complete agentic system end to end — a portfolio showcase you can present to employers.
- End-to-end
- Deployment
- Portfolio
Soft Skills Training
Communication, collaboration and presentation skills — the human side of shipping AI products in a team.
- Communication
- Collaboration
Interview Preparation
Mock interviews, resume and LinkedIn optimization and 1:1 in-person job interview preparation for agentic AI roles.
- Mock interviews
- Resume
- 1:1 prep
Roadmap
Your Generative AI & Agentic AI learning roadmap
A structured, step-by-step journey — each stage builds on the last, from agent fundamentals to a deployed, production-ready capstone.
- 01
Agentic AI Fundamentals
Understand Agentic AI fundamentals and intelligent agent design.
- 02
Prompting, Planning & Memory
Master advanced prompting, planning and memory techniques.
- 03
Multi-modal RAG Systems
Build RAG systems with text, image, video and structured data.
- 04
Agentic Frameworks
Explore LangChain, AutoGen, CrewAI and LangGraph.
- 05
Multi-Agent & Real-Time Systems
Build multi-agent and real-time event-driven systems.
- 06
Deployment & Capstone
Deploy agents with guardrails, monitor behaviour and complete a capstone.
200+Hours of learning & practical exercises
15+Projects & case studies
15+Tools & technologies
Hands-On Projects
Learn Through Real-World Projects in Generative AI Course & Agentic AI Course
Every module ends with a hands-on project built on real briefs. You graduate with 15+ agentic case studies that prove what you can build — the work employers actually want to see.
Voice AI
Voice Agent with TTS + STT + Lip Sync
Build a speaking, listening agent that holds natural conversations — combining speech-to-text, text-to-speech and lip-synced avatar rendering.
- TTS
- STT
- Lip sync
Agentic AI
Research Agent with ReAct & Memory
Design a ReAct-style research agent that plans, searches, reflects and remembers — completing multi-step research tasks autonomously.
- ReAct
- Memory
- Planning
RAG
PDF + YouTube Q&A Bot with RAG
Ship a retrieval-augmented bot that answers questions over PDFs and YouTube transcripts, with vector search and grounded, cited responses.
- RAG
- Vector search
- Grounding
Multi-modal AI
Multi-Modal Business Analyst Agent
Build an agent that reads dashboards, charts and documents together to deliver business analysis across text, image and structured data.
- Multi-modal
- Analysis
- Reporting
Multi-Agent
Multi-Agent Content Creation System
Orchestrate a team of agents — researcher, writer, editor — that collaborate to plan and produce content end to end.
- CrewAI
- Orchestration
- Collaboration
Generative AI
Personal Productivity Copilot
Create a copilot that manages your tasks, calendar and notes — using tool use and autonomous reasoning to act on your behalf.
- Tool use
- Autonomy
- LLMs
Legal AI
Autonomous Legal Assistant
Build an agent that analyses contracts, extracts clauses and flags risk — a grounded legal assistant for document-heavy workflows.
- Clause extraction
- Risk flagging
- RAG
Finance AI
Financial Dashboard Generator Agent
Develop an agent that queries financial data and generates live dashboards and reconciliation reports on demand.
- Dashboards
- Automation
- Data agents
RAG
Intelligent Document Chatbot
Deploy a chatbot that answers questions from a company document library — combining vector databases with an LLM for cited answers.
- Vector databases
- Chatbot
- Deployment
AgentOps
Autonomous Workflow Builder Agent
Design an agent that reads a business brief and assembles the workflow itself — the frontier of applied agentic automation.
- Workflow automation
- Agent design
- Scaling
Campus Connect
Campus Connect: Our Centralized Learning Hub
Campus-Connect is your one-stop platform for a seamless learning journey at BIA®. It provides access to study materials, lecture recordings, guest lectures, the help desk, career enhancement resources and more.
Job Opportunities
Job opportunities after the Generative AI & Agentic AI course
Agentic AI Developer
LLM Applications Engineer
AI Product Developer
RAG Systems Specialist
AI Automation Lead
Autonomous Agent Architect
Industries
Industries Hiring Generative AI & Agentic AI Development Specialists
Agentic AI skills are in demand across every sector — these are the industries where our graduates build autonomous systems today.
Finance
Intelligent dashboards, reconciliation agents and compliance bots.
Healthcare
Virtual assistants, triage and summarization.
Legal
Contract analysis, clause extraction and risk flagging.
Retail & E-commerce
Recommendation agents and customer copilots.
Education
AI tutors and multimodal learning assistants.
SaaS & Productivity
Workflow automation agents, copilots and assistants.
360° Career Support
A guided journey from your first class to your first offer
Personalised, end-to-end support at every step — so you never navigate the agentic AI job market alone.
1
Career Mentorship (1:1)
In-person career mentorship from working AI practitioners.
2
Resume Building
Resume and LinkedIn optimization tuned to agentic AI roles.
3
Interview Preparation (1:1)
In-person job interview preparation with mock drills.
4
Access to Partner Companies
Direct access to top MNC companies and the exclusive job opportunities portal.
From your first class to your first offer — guided at every step.
The BIA® Advantage
The BIA® Advantage
Six reasons learners and hiring partners choose Boston Institute of Analytics — a premium learning experience designed around outcomes, not theory.
Immersive Classroom Experience
Blended learning, live-streamed classroom sessions, flipped classroom learning and asynchronous learning modules.
200+Hours of learning & practical
Experienced and Supportive Faculty
Industry experience, accessible faculty, mentorship and networking opportunities.
100%Industry-expert trainers
Practical Exposure and Skills Development
Hands-on projects, skill-centric learning, industry workshops and internship opportunities.
15+Real-world agentic projects
Dedicated Academic Support
Live BIA DoubtBuster sessions, dedicated student support, soft skills development and progress monitoring.
LiveDoubtBuster sessions
Career Guidance and Career Support
Resume and LinkedIn optimization, 1:1 career mentorship, 1:1 interview preparation and exclusive job opportunities portal.
1:1Mentorship & interview prep
Modern Facilities and Technology Integration
Well-equipped learning spaces, modern technology, digital learning resources and AI-powered learning platforms.
15+AI tools & technologies
Learner Experiences
Student Reviews
Verified learners share how BIA’s Generative AI & Agentic AI program shaped their skills, confidence and careers.
Arjun Nair
Verified Student
Enrolling in BIA’s Generative AI & Agentic AI course was a turning point for my career. The curriculum goes far beyond prompt engineering — we built autonomous agents with LangChain and LangGraph, and the multi-agent projects taught me how real AI products are engineered. The instructors were knowledgeable and supportive throughout.
Review 1 of 6
FAQs
Frequently Asked Questions
Everything you need to know about BIA’s Generative AI & Agentic AI course — the syllabus, who it’s for, the projects, and the career support that follows.
It is a structured program through which you learn to build AI-powered applications with large language models and autonomous agents. A complete course covers LLMs, prompt engineering, RAG and multi-modal systems, fine-tuning, agentic frameworks such as LangChain, AutoGen, CrewAI and LangGraph, multi-agent collaboration, deployment and AgentOps. BIA’s Generative AI & Agentic AI Development program includes all of this plus hands-on agentic projects.
The course is ideal for AI/ML engineers eager to build real-world autonomous agents, data scientists exploring intelligent systems, software developers who want to productize Generative AI capabilities, founders & product leaders building AI-first applications, and researchers & students looking to understand next-generation AI systems.
You need basic Python skills — variables, loops, functions and APIs — plus familiarity with LLMs or Generative AI such as ChatGPT or Claude, and an interest in building real-world AI applications. No prior Agentic AI knowledge is required.
Career options include Agentic AI Developer / Engineer, LLM Applications Engineer, AI Product Developer, RAG Systems Specialist, AI Automation Lead and Autonomous Agent Architect, depending on your proficiency and practical skills.
Finance (intelligent dashboards, reconciliation agents and compliance bots), healthcare (virtual assistants, triage and summarization), legal (contract analysis, clause extraction and risk flagging), retail & e-commerce (recommendation agents and customer copilots), education (AI tutors and multimodal learning assistants) and SaaS & productivity (workflow automation agents, copilots and assistants).
All BIA sessions are live-streamed and recorded and are available on Campus Connect — our centralized learning hub — allowing students to learn later at their convenience.
Yes, students work on 15+ real-world agentic projects — from voice agents and RAG chatbots to multi-agent content systems. BIA’s Diploma course includes a 2-month internship, while the Master Diploma course includes 6 months of on-job training as an Agentic AI Developer.
BIA was ranked the #1 international training institute in 2023 by British Columbia Times, Business World and others. The Generative AI & Agentic AI program offers dual certification, immersive classroom and blended online learning, live DoubtBuster sessions, 360° career support with 1:1 mentorship and interview preparation, and access to top MNC companies through the exclusive job opportunities portal. No-cost EMI options are available.
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- 2Step 2 — Application Review & Discovery Call: The academic team reviews applications and a counsellor helps candidates choose the learning path aligned with their career goals.
- 3Step 3 — Confirmation & Enrollment: Complete the required documentation, fee payment and orientation process.
Boston Institute of Analytics — Generative AI & Agentic AI Development
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