AI/ML Foundations for Absolute Beginners (AgenticAI + MLOps)
What you'll 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
- Reflect on the ethical considerations of Agentic AI and how it ties into modern practices like DevOps and MLOps
Requirements
- No programming or math background required. This course is designed for complete beginners. All concepts will be explained from scratch in a simple, intuitive way.
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.
Who this course is for:
- Beginners who want to understand the fundamentals of Machine Learning, LLMs, and Agentic AI without diving into code or math
- Students and professionals exploring a future career in AI, Data Science, or Machine Learning
- Product managers, analysts, and non-tech stakeholders working with ML/AI teams
- Developers and tech enthusiasts curious about how modern AI systems like ChatGPT and autonomous agents work
- Anyone interested in the emerging field of Agentic AI and how it's shaping the future of intelligent systems and automation
- Devops Engineers who want to start with MLOps, AIOps and AgenticAIOps
Instructors
- 4.4 Instructor Rating
- 5,651 Reviews
- 160,081 Students
- 23 Courses
Helping DevOps Engineers Build Real-World Skills — One Project at a Time
Hi, I’m Gourav — Founder of School of DevOps™ and creator of the RealOps Career Framework.
With over 17 years of hands-on experience in DevOps, Cloud, and Platform Engineering, I’ve helped thousands of engineers go from confusion to confidence — and land roles they never thought possible.
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 leveling up into MLOps/AIOps, my courses follow a clear roadmap toward mastery.
* Project-Based Learning Meets Gamification
I don’t believe in passive learning. My students build live systems, earn XP, showcase projects, and grow within a community of builders.
* Join 150,000+ Learners Across 15+ Courses
I’ve designed industry-ready bootcamps and Weekend Project Series that are beginner-friendly, yet deep enough for working professionals.
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
After you finish this course, don’t stop there.
Join the RealOps Builders Network — our free Discord + Substack community for DevOps professionals who want to:
✅ Build projects every week
✅ Follow curated roadmaps
✅ Earn XP for real-world skills
✅ Get peer feedback and visibility
Join the network using the link in my bio — Let’s build your career, together.
- 4.3 Instructor Rating
- 5,634 Reviews
- 85,380 Students
- 22 Courses
Envisioned by Gourav Shah, a devops expert, author and a international trainer, School of Devops is a global provider of devops trainings with most comprehensive, job oriented, certification driven training programs. School of Devops also builds devops learning tools, technologies and top quality audio/visual content. Schoolofdevops developed it’s own Devops workspace called Codespace, an open scoure IDE. Codespace is based on it's front end engine Akurath, a terminal, a Devops workspace.
Being passionate about world of Open Source software, and later managing systems at scale, Gourav has transformed himself to be an expert Devops Enabler.
We have trained more than 8000 IT professionals from leading tech firms including CISCO, Intuit, Walmart Labs, Dreamworks, Accenture, Cognizant, Capgemini, RBS, Wells Fargo, Oracle etc.making us a coveted devops training company.
- 4.4 Instructor Rating
- 2,831 Reviews
- 178,163 Students
- 72 Courses
Vivian Aranha is an experienced technology professional with a strong academic foundation and a passion for innovation in Artificial Intelligence. He earned his Bachelor’s degree in Information Technology in 2004, followed by a Master’s degree in Computer Science in 2006. Since then, Vivian has accumulated nearly two decades of experience across diverse roles in the tech industry, contributing to cutting-edge projects and technological advancements.
Over the past eight years, Vivian has been deeply involved in the field of Artificial Intelligence, working on impactful AI projects spanning machine learning, deep learning, and intelligent systems. His expertise extends beyond technical implementation, as he has also dedicated significant time to teaching and mentoring peers and aspiring AI professionals. Vivian combines his deep technical knowledge with a talent for simplifying complex concepts, empowering students and professionals to excel in the ever-evolving AI landscape.
With a commitment to continuous learning and knowledge-sharing, Vivian Aranha is not only building intelligent systems but also shaping the next generation of AI innovators.