Understanding AI Agents: From Fundamentals to Implementation
Anupam Purwar
Director ML Engineering, Sprinklr Inc
Chandrasekar Srinivasan
Principal Mgr, Software Engg, Microsoft
Incorporating concepts from both understanding AI Agent and applying Agentic AI.
Modern software systems are rapidly evolving toward AI-driven experiences, yet many engineers and technology professionals still struggle to understand how conversational AI, LLMs, RAG systems, and AI agents actually work under the hood. This course helps bridge that gap by providing both foundational understanding and practical architectural knowledge needed to design, evaluate, and build modern AI-powered applications. Whether you are trying to move into AI-focused roles, build copilots and intelligent assistants for your organization, or simply stay relevant in a fast-changing industry, this course gives you a structured path to understand the technologies shaping the next generation of software systems. Instead of treating LLMs as black boxes, students will learn how modern conversational systems are built end-to-end — including prompting, retrieval, orchestration, fine-tuning concepts, and agent architectures — enabling them to make better technical decisions, prototype AI solutions faster, and confidently participate in real-world AI initiatives.
What you’ll learn
Learn how to imagine, develop AI Agents and Scale them to production ready systems without having any coding or engineering background.
Think about business problems from their area of work and imagine using AI to solve those problems.
Students will learn how to build AI agent without having to code it.
Understand what differentiates an AI agent developed as Proof of concept vs the one which scales and is used by thousands of users.
Things to keep in mind and important concepts related to AI Agents, LLMs, prompt engineering, context engineering and fine tuning.
Learn how to deploy an AI agent to cloud platform viz. AWS and expose it to external world.
Learn directly from Anupam & Chandrasekar
Anupam Purwar
Anupam Purwar lead Generative AI initiatives for Sprinklr Inc. (NYSE: CXM)
Chandrasekar Srinivasan
Principal Engineering Manager, Microsoft Azure
Who this course is for
Product or Programme Managers with no coding background
People Managers or leaders planning to do AI led transformation
Software engineers who want to learn and apply Agentic AI
Prerequisites
What specific Prerequisites?
Only english communication and ability to use Personal computer would be required.
What's included
Live sessions
Learn directly from Anupam Purwar & Chandrasekar Srinivasan in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
May
16
Foundations of Conversational A
Sat 5/163:30 PM—5:30 PM (UTC)
Module 1: Foundations of Conversational AI and Introduction to Agentic Systems
Week 2
May
24
Advanced Natural Language Understanding (NLU)
Sun 5/243:30 PM—5:30 PM (UTC)
Advanced Natural Language Understanding (NLU) for Agentic AI
Schedule
Live sessions
2 hrs / week
We will have weekend class of 2 hrs each.
Sat, May 16
3:30 PM—5:30 PM (UTC)
Sun, May 24
3:30 PM—5:30 PM (UTC)
Sun, May 31
3:30 PM—5:30 PM (UTC)
Projects
1 hr / week
Homework to read AI cases studies and Agentic AI applications.
Async content
1 hr / week
Pre-reads to help you prepare for every session.
Frequently asked questions
$750
USD
8 days left to apply