| 1 - AI Agents & Automation An Introduction.mp4 | 24.1 MB | ||
| 1 - AI Universe Recap Your Map at a Glance.mp4 | 91.7 MB | ||
| 1 - Computer Vision An Introduction.mp4 | 24.6 MB | ||
| 1 - Data Science An Introduction.mp4 | 25.5 MB | ||
| 1 - Deep Learning An Introduction.mp4 | 49.3 MB | ||
| 1 - Generative AI An Introduction.mp4 | 83.4 MB | ||
| 1 - Machine Learning An Introduction.mp4 | 34.7 MB | ||
| 1 - NLP An Introduction.mp4 | 47.3 MB | ||
| 1 - Sneak Peak of what's to Come (Structure).mp4 | 25.7 MB | ||
| 10 - Generative AI Cohere AI.mp4 | 33.1 MB | ||
| 11 - Generative AI Grok by X (Elon Musk).mp4 | 34.5 MB | ||
| 12 - Image Generative AI An Introduction.mp4 | 47.5 MB | ||
| 13 - Image Generative AI DALL-E and Stability AI.mp4 | 31.8 MB | ||
| 14 - Image Generative AI Midjourney.mp4 | 43.9 MB | ||
| 15 - Image Generative AI Adobe Firefly, Runway ML, Leonardo AI, & Imagen.mp4 | 88.6 MB | ||
| 16 - VIDEO Generative AI Runway ML.mp4 | 51.6 MB | ||
| 17 - VIDEO Generative AI Pika Labs.mp4 | 51.6 MB | ||
| 18 - VIDEO Generative AI Google VEO.mp4 | 79.7 MB | ||
| 19 - VIDEO Generative AI Synthesia, Genmo, & HeyGen.mp4 | 55.6 MB | ||
| 2 - AI Agents & Automation The Technical Backbone (CORE).mp4 | 56.5 MB | ||
| 2 - Computer Vision The Technical Backbone (CORE).mp4 | 52.6 MB | ||
| 2 - Data Science The technical Backbone (CORE).mp4 | 25.9 MB | ||
| 2 - Deep Learning The Technical Backbone (CORE).mp4 | 97 MB | ||
| 2 - Final Chapter (Important).mp4 | 47.4 MB | ||
| 2 - Generative AI Large Language Models (LLMs).mp4 | 19.5 MB | ||
| 2 - Machine Learning The Technical Backbone (CORE).mp4 | 24.5 MB | ||
| 2 - NLP The Technical Backbone (CORE).mp4 | 57.5 MB | ||
| 20 - CODE Generative AI An Introduction.mp4 | 14.3 MB | ||
| 21 - CODE Generative AI GitHub Copilot, Cursor, Replit’s Ghostwriter, Lovable, etc.mp4 | 54.8 MB | ||
| 22 - Prompt Engineering A conceptual Understanding.mp4 | 31.8 MB | ||
| 3 - AI Agents & Automation Tools and Skills.mp4 | 19 MB | ||
| 3 - Computer Vision Tools, Skills, and Career.mp4 | 63.5 MB | ||
| 3 - Data Science Tools and Skills.mp4 | 44.7 MB | ||
| 3 - Deep Learning Tools and Skills.mp4 | 38.3 MB | ||
| 3 - Generative AI ChatGPT 5.mp4 | 33.3 MB | ||
| 3 - Machine Learning Tools and Skills.mp4 | 19.4 MB | ||
| 3 - NLP Tools & Skills.mp4 | 31.8 MB | ||
| 4 - AI Agents & Automation MCP (A conceptual understanding).mp4 | 26.9 MB | ||
| 4 - Data Science Real-World Scenario (Career, Scope, & Is Data Science for you).mp4 | 54.2 MB | ||
| 4 - Deep Learning Real-World Scenario- Career, Scope, & Is DL for you.mp4 | 30 MB | ||
| 4 - Generative AI Generative AI Claude by Anthropic.mp4 | 33.3 MB | ||
| 4 - Machine Learning Real-World Scenario- Career, Scope, & Is ML for you.mp4 | 24.6 MB | ||
| 4 - NLP Real-World Scenario (Career, Scope, & Is NLP for you).mp4 | 35.9 MB | ||
| 5 - AI Agents & Automation Real World Scenario & Career Roles.mp4 | 30 MB | ||
| 5 - Generative AI Gemini by Google.mp4 | 36 MB | ||
| 6 - Generative AI Perplexity AI.mp4 | 33 MB | ||
| 7 - Generative AI Llama by Meta.mp4 | 35.3 MB | ||
| 8 - Generative AI Copilot by Microsoft.mp4 | 60.6 MB | ||
| 9 - Generative AI Mistral AI.mp4 | 40.3 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 51 total files | |||
Navigating the AI Universe: Data Science to Agentic AI (MAP)
https://WebToolTip.com
Published 9/2025
Created by Sudhir Ranjan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 49 Lectures ( 3h 28m ) | Size: 2.1 GB
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.
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