Navigating The Ai Universe: Data Science To Agentic Ai (Map)

A Beginner’s Grand Map of Tools, Technologies, Trajectories, and Future Scopes.

What you'll learn

Learn how different 7 AI domains connect: Data Science, Machine Learning, Deep Learning, Natural Lang. Processing, Generative AI, Computer Vision, & Agentic AI.

Identify essential tools, models, and platforms — Where they fit in the AI map. Identify essential tools, models, platforms, and the mindmap of core concepts.

Grasp key concepts like data cleaning, EDA, SQL queries, and statistical inference, and understand how they uncover patterns in data.

Learn essentials like supervised vs unsupervised learning, regression, classification, overfitting, and model evaluation in simple terms.

Understand fundamentals such as neural networks, backpropagation, gradient descent, CNNs, and RNNs, explained in easy-to-digest language.

Demystify technical ideas like tokenization, embeddings, attention layers, and transformers, and see how machines interpret human language.

Get clarity on autoregressive generation, diffusion models, multimodality, and prompt engineering, and how these power text, image, and video AI.

Grasp terms like core key terms like image recognition, convolution, object detection, segmentation, and vision transformers (ViTs) with practical examples.

Requirements

No programming experience required. Even if you’re an absolute beginner, this course has you covered. I’ve designed it to give you a clear MAP of the entire AI ecosystem, so you can build a solid foundation and confidently scale your knowledge further.

Description

This course contains the use of artificial intelligence.Confused by the overwhelming buzz around AI? You’re not alone.Everywhere you look, people are talking about ChatGPT, LangChain, RAG, Hugging Face, Agents— but no one hands you the map to see how it all fits together. Most courses dive deep into one tool or skill, leaving beginners feeling lost, disoriented, and left behind.This course is different.“Navigating the AI Universe” is your compass — a beginner-friendly journey that orients you across the entire AI ecosystem. Instead of drowning in jargon, you’ll build a clear mental roadmap of how AI domains connect, what skills matter, and where you fit in this revolution.Here’s what we’ll cover:Data Science: the foundation of collecting, cleaning, and analyzing data.Machine Learning: how machines learn patterns and make predictions.Deep Learning: the neural networks powering vision, speech, and creativity.NLP: how machines read, write, and understand language.Generative AI: text, image, audio, and video creation explained.Computer Vision: giving AI the ability to see and interpret visuals.AI Agents & Automation: moving from chat to action with intelligent agents.If you’re ready to replace confusion with clarity!You’ll understand tools, terms, and technologies with clarity, so every future course, tutorial, or project makes sense. This course won’t make you a specialist overnight — but it will put you ahead of 95% of people talking about AI.If you’re ready to replace confusion with clarity, let’s begin your journey.

Overview

Section 1: "Navigating the AI Universe": Introduction

Lecture 1 Sneak Peak of what's to Come (Structure)

Section 2: Data Science: The Foundation of AI

Lecture 2 Data Science: An Introduction

Lecture 3 Data Science: The technical Backbone (CORE)

Lecture 4 Data Science: Tools and Skills

Lecture 5 Data Science: Real-World Scenario (Career, Scope, & Is Data Science for you?)

Section 3: Machine Learning: Patterns, Predictions & Decisions

Lecture 6 Machine Learning: An Introduction

Lecture 7 Machine Learning: The Technical Backbone (CORE)

Lecture 8 Machine Learning: Tools and Skills

Lecture 9 Machine Learning: Real-World Scenario- Career, Scope, & Is ML for you?

Section 4: Deep Learning: Neural Networks Uncovered

Lecture 10 Deep Learning: An Introduction

Lecture 11 Deep Learning: The Technical Backbone (CORE)

Lecture 12 Deep Learning: Tools and Skills

Lecture 13 Deep Learning: Real-World Scenario- Career, Scope, & Is DL for you?

Section 5: Natural Language Processing: Teaching AI to Understand Us

Lecture 14 NLP: An Introduction

Lecture 15 NLP: The Technical Backbone (CORE)

Lecture 16 NLP: Tools & Skills

Lecture 17 NLP: Real-World Scenario (Career, Scope, & Is NLP for you?)

Section 6: Generative AI: Machines That Create

Lecture 18 Generative AI: An Introduction

Lecture 19 Generative AI: Large Language Models (LLMs)

Lecture 20 Generative AI: ChatGPT 5

Lecture 21 Generative AI: Generative AI: Claude by Anthropic

Lecture 22 Generative AI: Gemini by Google

Lecture 23 Generative AI: Perplexity AI

Lecture 24 Generative AI: Llama by Meta

Lecture 25 Generative AI: Copilot by Microsoft

Lecture 26 Generative AI: Mistral AI

Lecture 27 Generative AI: Cohere AI

Lecture 28 Generative AI: Grok by X (Elon Musk)

Lecture 29 Image Generative AI: An Introduction

Lecture 30 Image Generative AI: DALL-E and Stability AI

Lecture 31 Image Generative AI: Midjourney

Lecture 32 Image Generative AI: Adobe Firefly, Runway ML, Leonardo AI, & Imagen

Lecture 33 VIDEO Generative AI: Runway ML

Lecture 34 VIDEO Generative AI: Pika Labs

Lecture 35 VIDEO Generative AI: Google VEO

Lecture 36 VIDEO Generative AI: Synthesia, Genmo, & HeyGen

Lecture 37 CODE Generative AI: An Introduction

Lecture 38 CODE Generative AI: GitHub Copilot, Cursor, Replit’s Ghostwriter, Lovable, etc.

Lecture 39 Prompt Engineering: A conceptual Understanding

Section 7: Computer Vision: Giving AI the Power to See

Lecture 40 Computer Vision: An Introduction

Lecture 41 Computer Vision: The Technical Backbone (CORE)

Lecture 42 Computer Vision: Tools, Skills, and Career

Section 8: AI Agents & Automation: From Helpers to Teammates

Lecture 43 AI Agents & Automation: An Introduction

Lecture 44 AI Agents & Automation: The Technical Backbone (CORE)

Lecture 45 AI Agents & Automation: Tools and Skills

Lecture 46 AI Agents & Automation: MCP (A conceptual understanding)

Lecture 47 AI Agents & Automation: Real World Scenario & Career Roles

Section 9: AI Universe Recap: Your Map at a Glance

Lecture 48 AI Universe Recap: Your Map at a Glance

Lecture 49 Final Chapter (Important)

This course is for anyone who wants to truly begin their AI journey with confidence. If you’ve ever felt overwhelmed by jargon, lost in endless tutorials, or unsure where to start, this is your map. Whether you’re a student, a professional, a creator, or simply curious, this course will give you the solid foundation you need to explore the AI ecosystem, understand its domains, and discover where you belong in this future.