IIT Bombay | IIM INDORE
Ex – Standard Chartered
Agentic AI Engineering Course in India
Design, build and deploy autonomous AI systems used in next-generation software platforms.
Industry-Ready AI Skills
7 Real AI Systems Built
100% Career Assistance
- For enquiries call: +91 9158 89 89 89
Learn more about the course
Industry-Ready AI Skills
7 Real AI Systems Built
100% Career Assistance
- For enquiries call: +91 9158 89 89 89
Program Duration
16 Weeks
Class Schedule
Weekend
Mode
Live Online Classes
Program Fee
80K
AGENTIC AI Course USP
What Makes This Program Unique
Build 7 production-style AI systems
Learn agent architecture and multi-agent orchestration
Work on real-world automation systems like AI CRM agents
AGENTIC AI SYLLABUS
Agentic AI Engineering Program Curriculum
The Agentic AI Engineering Program is designed to take you from AI fundamentals to building production-grade autonomous systems.
Each module builds practical skills required to design, develop, and deploy modern AI agents used in real software products.
Foundations of AI Systems
Module 1 — Foundations of Generative AI Systems
Goal: Understand how LLM systems actually work.
Topics:
- Tokens, embeddings, attention, context windows
- Probabilistic outputs vs deterministic systems
- Hallucination mechanisms
- Limitations of LLM reasoning
- When not to use LLMs
Hands-on:
Build an LLM experimentation environment to test prompts and temperature behavior.
Module 2 — Prompt Architecture & Interaction Design
Goal: Learn how AI systems are controlled through structured prompts.
Topics:
- System prompts vs user prompts
- Prompt templates
- Structured output schemas
- Guardrails and constraints
- Prompt testing strategies
Hands-on:
Build a Prompt Engineering Toolkit, a prompt library for AI applications.
Building AI Applications
Module 3 — AI Application Engineering
Goal: Build AI applications beyond simple chatbots.
Topics:
- LLM APIs
- Tool calling
- Validation and retry logic
- Response formatting
- Fallback model strategies
Project:
AI Software Engineering Assistant: Build an AI microservice that performs structured tasks.
Module 4 — Retrieval Augmented Generation (RAG)
Goal: Teach students how to ground AI in real data.
Topics:
- Document ingestion pipelines
- Chunking strategies
- Embeddings
- Hybrid retrieval
- Reranking
- Hallucination mitigation
Project:
Enterprise Knowledge Assistant
Students build a system that answers questions using company documents.
Agentic AI Systems Engineering
Module 5 — Agentic AI Fundamentals
Goal: Introduce agent architecture.
Topics:
- Agents vs workflows
- Task decomposition
- Tool usage
- Memory and state
- Human-in-the-loop design
Hands-on:
Build a single-task autonomous agent.
Module 6 — Reasoning & Planning Agents
Topics:
- ReAct architecture
- Plan-and-execute agents
- Tree-of-Thought reasoning
- Self-reflection loops
- Multi-step planning
Project:
Build an Autonomous Research Agent that performs multi-step reasoning tasks.
Module 7 — Multi-Agent Systems
Topics:
- Agent collaboration
- Supervisor agents
- Delegation patterns
- Role-based agents
- Communication protocols
Project:
Multi-Agent Content Production System
Module 8 — Agent Frameworks & Orchestration
Topics:
- Stateful agent workflows
- Orchestration patterns
- Tool execution pipelines
- Agent lifecycle management
Students build complex agent workflows using orchestration frameworks.
Module 9 — Memory Systems for Agents
Topics:
- Short-term vs long-term memory
- Episodic memory
- Semantic memory
- Memory compression
- Knowledge graphs
Project:
Build memory-enabled conversational agents.
Module 10 — Tool Ecosystems & Automation
Topics:
- Tool registries
- API integration
- Browser agents
- Code execution tools
- External system integrations
Project:
AI Workflow Automation Agent
Example tasks:
- Analyze sales data
- Generate insights
- Send automated notifications.
Production AI Systems
Module 11 — AI Evaluation & Observability
Topics:
- RAG evaluation metrics
- Hallucination detection
- Agent task success measurement
- Monitoring AI pipelines
- Model drift detection
Hands-on:
Create AI evaluation pipeline.
Students learn to measure:
- Response accuracy
- Grounding score
- Task completion rate.
Module 12 — Production AI Systems & Deployment
This addresses the production engineering layer.
Topics:
- Scaling AI systems
- Latency optimization
- Cost control
- Concurrency and queues
- Service architecture
Deploy an AI agent service with monitoring.
Module 13 — AI Security & Governance
Topics:
- Prompt injection attacks
- Jailbreaks
- Secure RAG pipelines
- PII protection
- Compliance considerations
Students perform threat modeling for AI applications.
Capstone Projects
Students must build one full production system.
Project 1 — AI CRM Sales Automation Agent
Project 2 — AI Customer Support Automation Agent
Project 3 — AI Business Intelligence Agent
What Capabilities You Will Gain as an Agentic AI Engineer
- Design AI agents that can reason, plan tasks, and execute actions
- Build systems that combine LLMs, tools, APIs, and memory
- Understand how modern AI startups design agent architectures
- Learn how AI systems interact with real software environments
- Develop production-ready AI workflows instead of simple chatbots
- Build intelligent automation systems powered by AI agents
- Integrate AI with CRMs, APIs, databases, and enterprise tools
- Design systems that automate lead follow-ups, data analysis, and reporting
- Create AI-driven workflows that execute real business tasks
- Learn how organizations deploy AI automation in production
- Design scalable AI architectures used in modern applications
- Learn how to deploy AI services with monitoring and evaluation
- Understand latency optimization and cost management for AI systems
- Implement security and governance for enterprise AI deployments
- Build a professional portfolio demonstrating real AI engineering capability
Amquest Offering
What You Get in the Agentic AI Engineering Program
Every student enrolled in the program receives the following learning resources and support.
AI Development Environment
Pre-configured setup to start building AI agents quickly.
Live AI Engineering Training
120+ hours of live sessions on agent systems and AI architecture.
Hands-On AI Projects
Build multiple real AI systems during the program.
Real Business Use Cases
Learn how AI automates workflows like CRM and support systems.
AI Architecture Frameworks
System design patterns used in modern AI products.
AI System Templates
Reusable frameworks for building AI applications.
Project Reviews
Mentor feedback on code, architecture, and projects.
Doubt Solving Sessions
Live sessions to resolve technical implementation challenges.
1:1 Mentorship
Personal guidance for projects and career growth.
Portfolio Development
Graduate with real AI systems in your portfolio.
Career Assistance
Resume, portfolio, and interview preparation support.
Alumni Network
Access to the Amquest professional alumni community.
Industry Mentors
Amquest Education’s Agentic AI Faculty
Every trainer in this Agentic AI course has real industry experience in building AI systems.
LIMITED SEATS AVAILABLE
Join our Agentic AI Course and become interview-ready in 16 weeks.
Why Amquest Education?
Highlights of our Agentic AI Engineering Program
- Mentorship: 1:1 mentorship and technical guidance from experienced AI engineers
- Real AI Systems: Build real-world Agentic AI systems instead of only learning theory.
- Practical Resources: Architecture templates, system design frameworks, and reusable AI engineering tools.
- Career Support: Portfolio guidance, interview preparation, and career support
Amquest Alumni Work Here, You Could Too
LIMITED SEATS AVAILABLE
We Have An 91% Placement Success Rate
Career Path
Career Path After Agentic AI Engineering Course
Build skills that open opportunities across AI engineering, automation, product development, and AI systems architecture.
AI / Software Engineer
0–2 Years
LLM Application Engineer
1–3 Years
Agentic AI Engineer
2–5 Years
Senior AI Systems Engineer
4–7 Years
AI Automation Architect
6–10 Years
AI Product Lead / Solutions Architect
8+ Years
Other Career Outcomes
AI Automation Consultant
GenAI Product Engineer
AI Solutions Consultant
AI Startup / Founder Path
Trusted by Learners From India’s Leading Institutions
10,000+
Job Openings
₹24 LPA
Starting Highest Salary
450+
Hiring Partners
360°
Career Support
Investment vs Return
ROI of Agentic AI Course in India
Investment
₹ 80K
VS
Return
Starting Salary
₹ 15–35 Lacs
No Cost EMIs from ₹20,000/month
Reviews from Our LinkedIn Community
I'm proud to say I'm fully prepared to take on the CFA Level 1 exam.
As a non-finance background student, I was initially intimidated by the vast syllabus, but Amquest Education team took me from scratch and made it manageable.
Priyam Sahoo
Definitely the Best CFA course in Mumbai for CFA aspirants!
Had a very positive experience with Amquest Education during my CFA Level 1 prep. Excellent faculty, strong concept clarity, and great practice support. Best CFA course in Mumbai
Shrey Gautam
What I appreciate the most is the structure and discipline.
The regular practice questions, mock exams, and constant guidance keep you accountable. It doesn’t feel like you’re preparing alone, there’s proper mentorship and support throughout.
Panchami Raveendra
Choosing the right mentor is crucial for a professional qualification like the CFA .
After looking into various options, I found that the online CFA Level 1 course at Amquest offers exactly the kind of structured study plan and disciplined.
Diveesh Shenoy
Completed my CFA Level 1 preparation journey with Amquest Education.
The program was well-organized, and the team was responsive throughout the preparation phase. Appreciate the guidance and support.
Gaurav K
Grateful to the mentors at Amquest Education
Looking back at my time with Amquest Education CFA Level I online course, I realise how much those months shaped my approach to finance and to learning itself.
Shubham Jindal
What stands out most about Amquest is their commitment to not just teaching the material.
I’m excited to share that I’ve officially started my CFA journey, and I couldn’t have asked for a better partner than Amquest Education to guide me.
Alisha Shaikh
100% Placement Assistance
Career & Placements Assistance
Amquest Placement Program
- Super Sessions with Industry Leaders
- Resume & Personal Branding
- Technical & Case Interview Training
- End-to-End Support Until Offer Letter
Lifetime Access to Job Portal
Know More About Our Agentic AI
FAQs on Agentic AI Course
What is an Agentic AI course?
An Agentic AI course teaches how to design and build autonomous AI systems that can reason, plan tasks, use tools, and automate workflows. These systems combine large language models, memory, planning mechanisms, and software integrations to perform complex tasks without constant human instructions.
What is Agentic AI?
Agentic AI refers to AI systems that can independently perform tasks by analyzing goals, planning actions, interacting with tools, and adapting based on results. Unlike traditional AI applications that respond to single prompts, agentic systems can execute multi-step workflows.
What will I learn in the Agentic AI Engineering program?
Students learn how to build AI agents, design AI architectures, integrate tools and APIs, implement memory systems, and deploy AI applications into production environments.
Is Agentic AI different from Generative AI?
Yes. Generative AI focuses on generating content such as text, images, or code. Agentic AI builds on generative AI models but enables them to perform tasks autonomously using reasoning, planning, and tool integrations.
Why is Agentic AI becoming important?
Agentic AI enables automation of complex workflows such as research analysis, CRM automation, enterprise knowledge assistants, and software development support systems.
What topics are covered in the Agentic AI course?
The curriculum covers generative AI foundations, prompt architecture, retrieval-augmented generation (RAG), agent frameworks, reasoning agents, multi-agent systems, memory systems, AI tool integrations, evaluation systems, and production deployment.
Which AI frameworks will be taught in the course?
Students will learn modern agent development frameworks used in the industry, including frameworks for building AI agents, orchestrating workflows, and integrating external tools.
Will the course teach Retrieval Augmented Generation (RAG)?
Yes. Students will learn how to build RAG systems that connect large language models with external knowledge sources such as databases and documents.
Will I learn how to deploy AI systems in production?
Yes. The course includes modules on AI system architecture, monitoring, evaluation, deployment pipelines, and scalability considerations.
Will I learn prompt engineering in this course?
Yes. Prompt engineering is covered as part of prompt architecture and interaction design for building reliable AI systems.
Will I build real AI agents during the course?
Yes. Students build multiple real AI systems during the program, including research agents, workflow automation agents, and enterprise knowledge assistants.
What types of projects are included in the program?
Projects include building AI assistants, automation agents, multi-agent workflows, document intelligence systems, and AI applications integrated with APIs.
Will I learn how to integrate AI with business tools?
Yes. Students learn how to connect AI agents with APIs, databases, and enterprise systems to automate real business workflows.
Do I need prior experience in AI to take this course?
Basic programming knowledge is recommended. However, the course starts with foundational concepts before moving to advanced agent architectures.
Will I have mentor support for projects?
Yes. Students receive mentorship and project reviews to improve architecture design and system implementation.
What career opportunities are available after learning Agentic AI?
Professionals skilled in Agentic AI can work as AI engineers, LLM application engineers, AI automation architects, AI product engineers, and AI systems architects.
What salary can AI engineers earn in India?
Entry-level AI engineers typically earn between ₹8–15 LPA in India, while experienced engineers working with advanced AI systems can earn significantly higher salaries.
Is Agentic AI a good career choice?
Yes. As businesses adopt AI automation and intelligent systems, the demand for engineers who can design and deploy AI agents is rapidly growing.
Can software developers transition into AI engineering?
Yes. Many software engineers are transitioning into AI engineering by learning generative AI, AI agents, and AI system design.
Will this course help me build a portfolio for AI roles?
Yes. Students graduate with multiple AI systems that demonstrate their engineering capabilities to employers.
How long is the Agentic AI Engineering program?
The program typically runs for several weeks and includes live sessions, project development, and mentorship support.
Is the course available online?
Yes. The program is available through live online sessions and may also include classroom options.
Will I receive a certification after completing the course?
Yes. Students receive a certification from Amquest Education after successfully completing the program requirements.
Are EMI options available for the course?
Yes. Flexible payment options and EMI plans are available to make the program accessible.
Who should enroll in the Agentic AI course?
The program is ideal for software developers, AI engineers, technology professionals, and individuals who want to build AI systems and automation solutions.
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