AI/ML Foundations for Absolute Beginners (AgenticAI + MLOps) (Udemy.com)
Build a Solid Conceptual Foundation on Machine Learning, Large Language Models (LLMs) and Agentic AI along with MLOps
Created by: Gourav J. Shah
Last updated August 2025
What you will learn
- Learn What Machine Learning Really Is – Build a clear conceptual understanding of how machine learning works and how it differs from traditional programming.
- Explore Key Types of Machine Learning – Get introduced to supervised, unsupervised, and reinforcement learning with simple, relatable explanations.
- Understand the End-to-End ML Process – Learn the basic steps involved in building a machine learning model, from data preparation to evaluation.
- Get Familiar with Popular ML Algorithms – Discover widely-used ML algorithms like linear regression, decision trees, and neural networks—without diving into hea
- Introduction to Large Language Models (LLMs) – Understand how modern AI models like ChatGPT work, including concepts like tokens, transformers, and prompt engin
- Discover the fundamentals of Agentic AI – including memory, planning, agent architectures, tools, and real-world use cases
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.5 out of 5higher than 45% of them
- Reviews518#572 of 1,183 by number of reviews
- Length4.3 hoursshorter than 58% of them
- Last updatedAugust 2025more recently than 53% of them
Course Description
Curious about Machine Learning and AI but not sure where to start?
This course is your perfect entry point.
"Machine Learning, LLMs & Agentic AI – A Beginner's Conceptual Guide" is designed to give you a clear, intuitive understanding of how modern AI works — without needing any coding or math background.
We start from the very basics, explaining what machine learning is, how it's different from traditional programming, and the types of learning like supervised, unsupervised, and reinforcement learning. You’ll also learn how models are built, evaluated, and improved, and get familiar with common algorithms like regression, decision trees, neural networks, and more — all explained in a way that’s easy to follow.
From there, we shift gears into the exciting world of Large Language Models (LLMs) like ChatGPT. You’ll learn how LLMs are trained, what tokens and parameters mean, and how techniques like prompt engineering and RAG (Retrieval-Augmented Generation) enhance performance.
Finally, we introduce you to the emerging field of Agentic AI — a major shift where AI systems can plan, reason, remember, and act autonomously. You’ll explore agent architecture, memory, planning, multi-agent collaboration, real-world tools, and the ethical challenges of deploying such systems.
Whether you're a student, a professional looking to upskill, or simply curious about the future of AI — this course will give you the conceptual clarity and confidence to take the next step in your learning journey.
By the end of this course, you will:
Understand core machine learning concepts and processes
Get familiar with popular ML algorithms and their purpose
Know how Large Language Models like ChatGPT work
Learn what makes Agentic AI different and powerful
Explore real-world tools and use cases for agents
Gain clarity on emerging trends like MLOps and AI ethics
No coding. No prior experience. Just clear, beginner-friendly explanations to help you confidently explore the world of AI.
Instructor Details
- 4.5 Rating
518 Reviews
Gourav J. Shah
I'm Gourav, founder of School of DevOps™, and I'm on a mission to help DevOps engineers master Agentic DevOps and MLOps using the AI DevOps Mastery System.
With over 20 years in DevOps, Cloud, and Platform Engineering, I've helped 300,000+ engineers across 15+ courses go from confusion to confidence — landing roles they never thought possible, and now navigating the shift into AI-augmented Ops.
Why Learn From Me?
Real-World Projects, Not Just Theory
My courses are built around problems real companies solve every day, so you're not just watching, you're building.
Designed for Career Impact
Whether you're transitioning into DevOps, going deeper with Kubernetes, or moving into MLOps, AIOps, and Agentic DevOps, my courses follow a clear roadmap toward mastery.
Hands-On, Project-First Learning
I don't believe in passive learning. My students build live systems, tackle real deployment challenges, and grow within a community of builders.
What I Teach
- DevOps Foundations + CI/CD
- Kubernetes, GitOps, Platform Engineering
- Cloud Infra with Terraform & AWS
- MLOps, AIOps & AI-Augmented Ops
- Agentic Workflows & AI for Infra Automation
Be Part of Something Bigger
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Reviews
By Paul Lacey on 7/16/2026
The graphics are a hot mess that have been generated with an early, crappy AI tool. Most of the text in the graphics is hallucinated gibberish.
By Paul Christian D. Toyor on 4/15/2026
This is purely moot and academic, though it could be more compressed or improved over time.
By Rita Gupta on 4/15/2026
All appropriate analogy is used in presentation for each and every topic.
By Keith Lankford on 4/7/2026
Thorough summary and overview placing the working parts of AI, ML, LLMs, and Agentic AI in context.
By Anirban Ghosh on 3/30/2026
The good part of the course is the way it explained many of the complex models by sharing relevant use cases and examples.
By ANUBHAV PANDEY on 1/15/2026
The Basics were very well covered and the teaching method was also quite easy to understand!
By Udemy User on 1/5/2026
Good Explaination with real time Problems and well teaching.it is beginner friendly!
By Sreema Sahu on 10/14/2025
Nice experience. The instructor was explaining in a great way.
By Hemant Kumar on 7/11/2025
I found this course to be incredibly valuable. The teaching style was excellent and greatly contributed to my learning experience.
By krishna Raja on 3/31/2025
Good courses with lots of theoretical content and information. The author covers everything well.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 90 / 100



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