Generative AI & Agentic AI Specialist Course in Bangalore
Build, deploy, and ship real AI agents in this advanced specialist program for professionals who already know Python. Master LLMs, RAG systems, multi-agent architectures, and production deployment through hands-on, industry-grade projects — no basics, just depth, culminating in a capstone presented at our employer demo day.
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Key Features of Generative AI & Agentic AI Specialist Course
- Built for Depth, Not Basics
- ArivuSkills Certification
- Employer Demo Day
- Placement Assistance
- Real Multi-Agent System Capstone
- Production-Ready Deployment Skills
- Hands-On, Project-Based Learning
- Live Mentor Access Throughout
Listen to your Success Stories
Why Choose ArivuSkills?
Employer Demo Day
Present your capstone Agentic AI system to invited employers from ArivuSkills’ B2B and corporate network — turning your final project into a direct hiring opportunity.
Placement Support Until Placed
Interview preparation and support for your first 10 confirmed interviews, backed by a portfolio of deployed projects.
Mock Interviews for AI Roles
Practice structured mock interviews modeled on real AI/agent engineering hiring processes.
ArivuSkills Certification
Earn a certification from ArivuSkills recognizing hands-on, job-ready agentic AI skills.
Practitioner-Led Training
Learn directly from faculty with real experience building and deploying agentic AI systems.
Industry Capstone — Agentic AI System
Design, build, integrate, and deploy a real end-to-end multi-agent system with tools and RAG.
Built for Depth, Not Basics
Designed for professionals who already know Python — skip the fundamentals and go straight into LLMs, RAG, and multi-agent systems.
Industry-Relevant Curriculum
Curriculum built around real market demand — LLMs, RAG, multi-agent frameworks, evaluation, and deployment, not introductory AI.
Real Industry Case Studies
Work through practical scenarios in prompting, RAG design, and agent architecture, just like production environments.
Small-Batch Learning
Cohort size scales with admissions each batch — real mentorship and individual feedback, not lost in a 100+ student batch.
Campus + Local Placement Network
Train at Arivu Skills’ physical campus with access to a genuine local employer network.
Career Guidance & Roadmap
A structured path from LLM foundations to production deployment to interview readiness, tailored to your background.
Short Screening, Not a Long Gate
Entry requires only Python proficiency, verified via a short screening — not a lengthy admissions process.
Weekend-Friendly Format
100 hours delivered over 3 months of weekend batches (9 AM–1 PM), with campus, live, and recorded access combined.
Who Can Join this Course?
- Experienced Software Engineers with working Python proficiency
- Data Scientists and ML Engineers looking to specialize in agentic AI
- Backend or Full-Stack Developers transitioning into AI-focused roles
- Professionals who've completed Python fundamentals elsewhere and want to go straight into depth
- Engineers wanting hands-on experience with LLMs, RAG, and multi-agent systems
- Candidates cleared via a short Python proficiency screening
- GCC or IT-services engineers being upskilled through a corporate cohort
- Professionals who don't need Python basics and want to skip straight to advanced AI content
Significant Demand Growth Since 2022
The demand for Generative and Agentic AI professionals is accelerating fast in India. Generative AI, LLM development, MLOps, and RAG system engineering represent the largest demand-to-supply gaps in the market in 2026, and engineers who add GenAI, MLOps, or LLM engineering skills to their profile receive 20–40% higher offers at equivalent experience levels. India needs at least 1 million skilled AI professionals by 2026, and the gap between demand and supply keeps compensation climbing. Enter this high-demand field with the Generative & Agentic AI Specialist course from ArivuSkills.
Testimonials
Rajiv Singh
Nitish Sharma
Dimple Prasad
Let's walk you through the journey at ArivuSkills
Course Curriculum
Our course is designed by industry experts for excellent academic and industrial experience. We have a balanced combination of theoretical, technical, and practical knowledge for you to get the best training experience for everyone regardless of their background.
- 6 Months
LLMs & Prompt Engineering
→ Module 1: LLMs & Prompt Engineering
– LLM evolution, tokenization, attention, and generation
– OpenAI and Anthropic APIs
– Zero-shot, few-shot, and chain-of-thought prompting
– System prompts
– Token and cost management
Advanced Prompting & Fine-Tuning
→ Module 2: Advanced Prompting & Fine-Tuning
– ReAct, Tree-of-Thought, Self-Consistency
– JSON mode and function calling
– Fine-tuning with LoRA and QLoRA
– HuggingFace and Ollama
– LLM evaluation
RAG & Retrieval Systems
→ Module 3: RAG & Retrieval Systems
– Document loading and chunking
– Embedding models
– Vector stores — ChromaDB, FAISS, Pinecone
– Similarity search
– RAG architecture and RAGAS
LangChain Deep Dive
→ Module 4: LangChain Deep Dive
– Chains, memory, and tools
– Output parsers
– Sequential and router chains
– LCEL
– LangSmith and multi-modal RAG
AI Agents: Architecture & Frameworks
→ Module 5: AI Agents — Architecture & Frameworks
– ReAct and tool use
– Single vs. multi-agent systems
– LangGraph for stateful agents
– CrewAI and AutoGen
– Agent memory and state
Advanced & Multi-Agent Systems
→ Module 6: Advanced & Multi-Agent Systems
– Custom tools
– Multi-agent collaboration and orchestration
– Planner-executor patterns
– Inter-agent communication
– Workflow design
Agent Evaluation, Safety & Guardrails
→ Module 7: Agent Evaluation, Safety & Guardrails
– Evaluation methods
– Guardrails and content filtering
– Hallucination control
– Responsible AI
– Red-teaming and failure analysis
Vector Databases & Data Layer
→ Module 8: Vector Databases & Data Layer
– Pinecone, ChromaDB, Weaviate
– Embeddings at scale
– Hybrid and metadata search
– Cloud storage
– Data versioning (DVC)
Model & Agent Deployment
→ Module 9: Model & Agent Deployment
– FastAPI (async, Pydantic)
– Serialisation
– Docker
– Cloud deployment — AWS, GCP
– Streamlit/Gradio and CI/CD basics
Agent Monitoring & Observability
→ Module 10: Agent Monitoring & Observability
– Production monitoring
– Observability and tracing
– Logging
– Drift detection
– Cost tracking and performance tuning
Industry Capstone: Agentic AI System
→ Module 11: Industry Capstone — Agentic AI System
– End-to-end agentic system build
– Multi-agent system with tools and RAG
– Integration and testing
– Deployment
– Employer demo-day preparation
Demo Day, Portfolio & Placement
→ Module 12: Demo Day, Portfolio & Placement
– Employer demo day
– GitHub portfolio
– Resume for AI/agent roles
– LinkedIn
– Mock interviews
– Graduation and certification
Career Track
Once you have enrolled for the program then you will have access to a wide range of resources which will help you in becoming a Job-Ready Candidate. We have a dedicated placement team of professionals who excel in their individual domains committed to assist you in our journey.
- 1 Months
Portfolio & Capstone Documentation
- Document your Agentic AI capstone as a GitHub portfolio project
- Showcase your multi-agent system build with tools and RAG integration
- Write up your architecture and design decisions
- Present your work in a way employers can evaluate directly
Resume & LinkedIn for AI Roles
- Build a resume tailored specifically for AI/agent engineering roles
- Optimize your LinkedIn profile to reflect your agentic AI skills
- Position your capstone project as your core portfolio piece
Mock Interviews for AI Roles
- Structured mock interviews for AI/agent engineering positions
- Technical rounds modeled on real industry hiring processes
- Feedback and iteration ahead of real interviews
Mock FDE Interviews
- Present your capstone to invited employers from ArivuSkills’ B2B and corporate network
- Placement support covering your first 10 confirmed interviews
- Graduation and ArivuSkills certification
Get Placed
Companies Hiring for Generative AI and Agentic AI Professionals
85%
Placements
18 LPA
Average CTC
45 LPA
300+
40%
Generative AI & Agentic AI Specialist Course Training in Bangalore
- Upcoming Batch
September 5 2026
IST: 09:00 AM – 01:00 PM
- Weekend Batch | 120 Sessions
- Certified Trainer
Do you want to customize your batch request?
Corporate Training
The work force is your asset. Up-Skill them with our Corporate Training Programs!
- Unleash In-Demand Skills Across the Enterprise
- Align Skill Development with Business Objectives
- Drive Increased Employee Productivity
- Leverage Immersive Learning
Generative & Agentic AI Specialist Certification Course in Bangalore Overview
How Generative & Agentic AI Specialist Certification Impacts Your Career
An ArivuSkills Certification from this course opens strong career opportunities in Generative AI engineering, LLM development, and agentic AI system building.
Career Advancement:
- Strong Demand: Generative AI, LLM development, MLOps, and RAG system engineering represent the largest demand-to-supply gaps in India’s AI market in 2026. Engineers with these skills earn 20–40% higher offers at equivalent experience levels, especially in:
- Generative AI Engineer
- Agentic AI / Multi-Agent Systems Engineer
- LLM & RAG Engineer
- AI Solutions Engineer
- Strong Career Demand: Generative & Agentic AI skills are highly valued across:
- Product Companies & GCCs
- AI-native Startups
- IT-Services Firms
- Enterprise AI Teams
- E-commerce, Fintech & BFSI
Note: this is an advanced specialist program built for professionals who already know Python — depth, not basics.
What’s Included in the Course?
The Generative & Agentic AI Specialist Program by ArivuSkills provides practitioner-led, job-oriented training focused on real agentic AI system building.
✔ LLMs, Prompt Engineering & Fine-Tuning
✔ RAG & Retrieval Systems
✔ LangChain & Multi-Agent Frameworks (LangGraph, CrewAI, AutoGen)
✔ Agent Evaluation, Safety & Guardrails
✔ Vector Databases & Data Layer
✔ Model & Agent Deployment
✔ Real Industry Capstone — Agentic AI System
✔ Employer Demo Day, Portfolio & Placement Support
✔ 3-Month Weekend Access (Campus + Live + Recorded)
Eligibility & Requirements
Who Can Join?
- Experienced Software Engineers with Working Python Proficiency
- Data Scientists & ML Engineers Specializing in Agentic AI
- Candidates Cleared via Short Python Proficiency Screening
Generative AI and Agentic AI Course Certificate
Skills Covered
- LLMs, Prompt Engineering & Fine-Tuning
- RAG & Retrieval Systems
- Multi-Agent Architecture & Frameworks
- Agent Evaluation & Guardrails
- Vector Databases & Data Layer
- Model & Agent Deployment
Tools Covered
Generative AI & Agentic AI Specialist Course in Bangalore FAQ
1. What is Generative AI and Agentic AI, and how are they different?
Generative AI refers to models that create new content — text, images, code — based on patterns learned from data. Agentic AI goes a step further: it involves building autonomous systems (agents) that can reason, use tools, and take multi-step actions to complete tasks, often working with other agents in coordination.
2. Do I need to know Python before joining this course?
Yes — this is an advanced specialist program built for professionals who already know Python. It skips fundamentals entirely and goes straight into LLMs, RAG, and agent architecture from Module 1.
3. What's the difference between this course and a beginner AI course?
Specialising in Generative AI, LLM development, MLOps, and RAG system engineering is where the largest demand-to-supply gaps sit in 2026 — this course is built entirely around that specialization, assuming you already have engineering fundamentals rather than teaching them.
4. What salary can I expect after this course?
Generative AI engineers in India earn between ₹20–70 LPA, compared to ₹10–40 LPA for traditional ML engineers, with Bangalore specifically offering ₹15–45 LPA for these roles. Actual outcomes depend on experience, company type, and how strong your portfolio and interview performance are.
5. Which companies hire for Generative AI and Agentic AI roles?
Google India pays AI engineers an average of ₹46.5 LPA, Amazon India offers ₹26–48 LPA, and GCCs including JPMorgan Technology, Goldman Sachs Technology, and Walmart Global Tech pay ₹35–65 LPA for senior roles, alongside strong demand at IT-services firms and AI-native startups.
6. What tools and frameworks will I learn?
LangChain, LangGraph, CrewAI, vector databases (Pinecone, ChromaDB), HuggingFace, and production deployment tools like Docker and FastAPI — all applied through hands-on agent-building projects, not just theory.
7. Is this course project-based or purely theoretical?
Fully hands-on. The program builds toward a real industry capstone — an end-to-end agentic AI system with tools, RAG, and multi-agent orchestration — that you present at an employer demo day.
8. What certification will I receive?
An ArivuSkills Certification recognizing hands-on, job-ready agentic AI skills, based on your capstone project and course completion.
9. What's the course format and duration?
100 hours over 3 months, delivered as weekend batches (9 AM–1 PM) — a mix of live sessions, recorded content, and campus access in Bangalore, Chennai, and Coimbatore.
10. What kind of placement support is included?
Interview preparation and support for your first 10 confirmed interviews, backed by a portfolio built around your capstone project, plus access to our employer demo day.
Distinctions and Achievements
Explore the milestones of our journey!
Best Skill Learning Institute of the Year
The Education Excellence Award by Brands Impact
Edutech Company of the Year
The Education Awards by The Corporate Titan
Institute with the Best Placement
The Education Awards by Mantra
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