A Beginner’s Grand Map of Tools, Technologies, Trajectories, and Future Scopes.
This course contains the use of artificial intelligence.
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..
Course Content
- “Navigating the AI Universe”: Introduction –> 1 lecture • 3min.
- Data Science: The Foundation of AI –> 4 lectures • 19min.
- Machine Learning: Patterns, Predictions & Decisions –> 4 lectures • 15min.
- Deep Learning: Neural Networks Uncovered –> 4 lectures • 22min.
- Natural Language Processing: Teaching AI to Understand Us –> 4 lectures • 21min.
- Generative AI: Machines That Create –> 22 lectures • 1hr 26min.
- Computer Vision: Giving AI the Power to See –> 3 lectures • 14min.
- AI Agents & Automation: From Helpers to Teammates –> 5 lectures • 21min.
- AI Universe Recap: Your Map at a Glance –> 2 lectures • 8min.
Requirements
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.