M.S. BITS Pilani
Ex – AWS
Build working AI agents in 40 hours — the same programme 4,500+ professionals trained on, now for students.
Enrol@₹399
Build working AI agents in 40 hours — the same programme 4,500+ professionals trained on, now for students.
Build working AI agents in 40 hours — the same programme 4,500+ professionals trained on, now for students.
Best Agentic AI Course in India
(Weekend Online Classes)
Industry-Ready AI Skills
100% Career Assistance
Agentic AI Certification
- For enquiries call: +91 9158 89 89 89
Book Your Free Agentic AI Demo!
Industry-Ready AI Skills
100% Career Assistance
Agentic AI Certification
- For enquiries call: +91 9158 89 89 89
What is Agentic AI?
- Agentic AI refers to AI systems that can plan, make decisions, use tools, and carry out multi-step tasks on their own without needing a human to guide each step.
- Goes beyond chatbots as AI agents act on goals, not just respond to prompts
- Breaks complex goals into smaller steps and executes them in sequence
- Uses Agentic AI tools like APIs, databases, search engines & code runners
- Holds memory across tasks and adjusts based on results and feedback
- Powers enterprise automation, product workflows, and AI-first pipelines
- Built using AI frameworks, Python, LangChain, LlamaIndex or open-source LLMs
Agentic AI Course Structure
Green Belt - Building AI-Enabled Applications and Workflows
Module 1 - Generative AI Fundamentals for Developers
Module 2 - Building AI Apps: Prompts, Tools and Patterns
Module 3 - RAG: Retrieval and Grounding
Module 4 - Agentic AI: Agents, Tools and Orchestration
Module 5 - LLM Testing and Evaluation at Scale
Module 6 - Capstone Project
Black Belt - AI Architecture, Scale, Security and Governance
Module 1 - Enterprise AI Architecture and System Design
Module 2 - Scaling, Performance and Cost Governance
Module 3 - Security, Privacy and Data Protection
Module 4 - Observability, Evaluation and Model Governance
Module 5 - Enterprise AI Platform Strategy
Module 6 - AI System Leadership Capstone
Program Outcomes
1. Understand LLMs from an application development perspective
2. Use OpenAI API inside Python applications
3. Build reusable prompt templates and structured outputs
4. Use JSON schemas and validation logic for reliable AI responses
5. Build tool-calling and function-execution workflows
6. Process documents and create RAG-based knowledge assistants
7. Build controlled agentic workflows with approval checkpoints
8. Add retries, fallback logic, validation, and error handling
9. Test and evaluate AI outputs for quality, accuracy, and reliability
10. Build one demo-ready AI application or controlled agentic workflow
Curriculum Structure
Module 1 - LLM Fundamentals, Model Selection & Multimodal AI
Module 2 - Building AI Features with Prompts, OpenAI API & Structured Outputs
Module 3 - Tool Calling, Function Execution & Workflow Automation
Module 4 - RAG Systems & Internal Knowledge Assistants
Module 5 - Controlled Agentic AI Workflows
Module 6 - PromptOps, LLM Testing & Evaluation
Module 7 - Security, Cost, Monitoring & Deployment Readiness
Module 8 - Capstone: AI Application or Agentic Workflow
Skills You Will Build from This Agentic AI Course
- Build LLM-powered applications using Python, LangChain, and LlamaIndex
- Design and deploy RAG pipelines from document ingestion to grounded output
- Construct multi-step agentic workflows with tool calling and memory
- Write structured prompts, manage versions, and run A/B tests on outputs
- Handle multi-modal inputs: images, PDFs, audio, and structured data
- Implement error handling, retries, and production-ready validation logic
- Design enterprise AI architectures that scale and fail safely
- Build cost governance and model routing strategies for AI infrastructure
- Secure AI pipelines against prompt injection and data exposure
- Set up observability dashboards to track quality, latency, and cost
- Design rollback, incident response, and drift detection systems
- Build AI operating models and platform strategies for organisations
- Measure AI output quality: accuracy, relevance, hallucination, and safety
- Build automated evaluation datasets and regression testing workflows
- Add human-in-the-loop checkpoints and approval logic to agent systems
- Design agent guardrails and controlled execution boundaries
- Track and improve AI system performance continuously in production
Full Course @ ₹399
Full 40-hour course · one payment · no other fees
Industry Mentors
Meet Your Agentic AI Faculty
Every trainer in this Agentic AI course has real industry experience in building AI systems.
Why Amquest Education?
Why Choose Amquest’s Gen AI & Agentic AI Course
- Code-First: Every module is based on real Python and APIs
- Dual Track: Green Belt then Black Belt progression modules
- Enterprise Modules: Security, cost, and observability built in
- Weekend Live Batches: Designed for working IT professionals
Amquest Agentic AI vs Other Courses in India
Amquest
Other
Target Audience
IT professionals, developers, tech leads, architects
Generic - students and non-tech included
Curriculum Depth
Green Belt + Black Belt dual track
Single-level generic AI overview
Approach
Code-first: Python, LangChain, LlamaIndex, real APIs
Concept-first, minimal hands-on coding
Live Sessions
Live online, weekend batches
Mostly recorded or self-paced
Capstone
Production-ready build or agentic workflow
Case study or theory presentation
RAG Coverage
End-to-end RAG pipeline with multi-modal support
Basic or no RAG coverage
Agent Safety
Human-in-the-loop, failure handling, guardrails
Not covered
Enterprise Modules
Security, observability, cost governance, architecture
Not included
Certification Track
Green Belt then Black Belt progression
Single certificate on completion
Amquest Alumni Work Here, You Could Too
Career Opportunities
Career Opportunities & Salary After Generative Agentic AI Course
Agentic AI Developer /
Engineer
₹8 – ₹18 LPA
LLM Application
Engineer
₹10 - 22 LPA
AI Product
Developer
₹10 - 20 LPA
RAG Systems
Specialist
₹10 - 25 LPA
AI Automation
Lead
₹12 - 25 LPA
AI Solutions
Architect
₹18 - 40 LPA
Enterprise AI
Architect
₹20 - ₹45 LPA
AI Security and
Governance Specialist
₹15 - 35 LPA
MLOps / AI
Infrastructure Engineer
₹12 - 30 LPA
Autonomous Agent
Architect
₹20 - ₹50 LPA
Trusted by Learners From India’s Leading Institutions
Full Course @ ₹399
Full 40-hour course · one payment · no other fees
Know More About Our Agentic AI Course
FAQs About the Agentic AI Engineering Course
Our FAQ section covers everything from course structure to career support and admissions.
Who is this course for?
IT professionals: developers, engineers, tech leads, and architects. You write code and own systems in your current role.
Do I need prior AI experience?
A working knowledge of Python and basic programming is expected. The course starts from LLM fundamentals and builds up – you do not need prior AI or ML experience.
What tools and frameworks will I work with?
Python, LangChain, LlamaIndex, OpenAI, Anthropic, Gemini APIs, Ollama, HuggingFace, and vector databases for RAG systems.
What do I build by the end?
A production-ready capstone: an AI SaaS feature, RAG-based assistant, agentic automation workflow, or AI developer productivity tool.
What is the course fee?
₹399 for the full AI for Technology program.
What certification do I receive?
AI Green Belt – IT on completing the first track. AI Black Belt – IT on completing the full program.
How do I apply?
Click Here
to Apply. The admissions team will contact you with batch dates and enrollment details.
How to Apply for Amquest’s Agentic AI Course
1
APPLICATION
Submit your Agentic AI course application.
2
ELIGIBILITY
Check your eligibility for the program.
3
OFFER LETTER
Receive your offer letter within 24 hours.
4
FEE PAYMENT
Pay your Agentic AI course fees and reserve your seat.
5
COURSE STARTS
Begin your Agentic AI training on day one.