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22/09/2025

✅ Save, Share & Follow for more🚀 Comment ‘AIML’ to Download the Free PDF👇

1. Mastering Al and Machine Learning for free is absolutely achievable with dedication and a structured approach. Here’s a comprehensive guide to help you on your journey.

✅ Build a Strong Foundation (Prerequisites)
✅ Core Al & Machine Learning Concepts
✅ Top Free Online Courses and Platforms
✅ Practice and Projects
✅ Stay Updated and Engage with the Community

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13/09/2025

📍Day 134: Follow for more🚀 DM ‘GenAI’ to Download the Free PDF👇

1. To help you prepare for a Generative AI interview, here’s a list of potential questions, categorized to cover different aspects:

✅ What is Generative AI?
✅ What are its applications?
✅ How does it differ from other AI types?
✅ What are some key models and techniques?
✅ What are the challenges and limitations?
✅ How can you use it for interview preparation?

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12/09/2025

📍Day 132: Comment “Gen AI” to download the PDF👇 Follow for more🚀

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05/09/2025

*FREE Generative AI InternshiP*
Unlock strategies to elevate your AI skills with *Dr. Jnan Yalla (CTO, DataTeach.ai)*

📅 Starts: *Monday, 8th September*
⏰ Time: *7:00 – 9:00 PM*
📌 Duration: *3 Weeks*
💡 *100% Online* | Limited Seats
👉 Don’t miss this golden opportunity to gain hands-on Generative AI knowledge!

📲 Register Now: https://forms.gle/wfqxEYQv157GuXSC9

Join our *Whatsapp Group for Updates* :
https://chat.whatsapp.com/JC89LpReDekH5x9x7RGQbH

Visit: *www.datateach.ai*
📞 Contact: 9885946789

31/08/2025

📍Day 128: Artificial Intelligence Course - Unit II(Part 3) ✅ Follow for more🚀

📝 All notes are shared as PDF with our Exclusive Instagram Subscribers 👑. Click subscribe button in bio to access it.👇

✅ Course objectives

The main objectives of this course are to:

* Learn the basic AI approaches.
* Develop problem-solving agents.
* Perform logical and probabilistic reasoning.

✅ Syllabus Overview

The course is divided into five units covering key areas of Artificial Intelligence:

* Unit I: Intelligent Agents
* Unit II: Problem Solving
* Unit III: Game Playing and CSP
* Unit IV: Logical Reasoning
* Unit V: Probabilistic Reasoning

✅ Course Outcomes

Upon completion, students will be able to explain intelligent agent frameworks, apply problem-solving, game playing, and CSP techniques, and perform logical and probabilistic reasoning.

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30/08/2025

📍Day 126: Artificial Intelligence Course - Unit II(Part 2) ✅ Follow for more🚀

📝 All notes are shared as PDF with our Exclusive Instagram Subscribers 👑. Click subscribe button in bio to access it.👇

✅ Course objectives

The main objectives of this course are to:

* Learn the basic AI approaches.
* Develop problem-solving agents.
* Perform logical and probabilistic reasoning.

✅ Syllabus Overview

The course is divided into five units covering key areas of Artificial Intelligence:

* Unit I: Intelligent Agents
* Unit II: Problem Solving
* Unit III: Game Playing and CSP
* Unit IV: Logical Reasoning
* Unit V: Probabilistic Reasoning

✅ Course Outcomes

Upon completion, students will be able to explain intelligent agent frameworks, apply problem-solving, game playing, and CSP techniques, and perform logical and probabilistic reasoning.

⬇️ Join Our Telegram Community for Free - https://t.me/ds_learn

4 Important Things to Do:

✅ Save This Post for Future
✅ Turn on Post, Reel & Story Notifications to Get Early Access to Shared Resources
✅ Subscribe our Instagram Channel for exclusive contents
✅ Share it with your Friends

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27/08/2025

📍Day 124: Artificial Intelligence Course - Unit II ✅ Follow for more🚀

📝 All notes are shared as PDF with our Exclusive Instagram Subscribers 👑. Click subscribe button in bio to access it.👇

✅ Course objectives

The main objectives of this course are to:

* Learn the basic AI approaches.
* Develop problem-solving agents.
* Perform logical and probabilistic reasoning.

✅ Syllabus Overview

The course is divided into five units covering key areas of Artificial Intelligence:

* Unit I: Intelligent Agents
* Unit II: Problem Solving
* Unit III: Game Playing and CSP
* Unit IV: Logical Reasoning
* Unit V: Probabilistic Reasoning

✅ Course Outcomes

Upon completion, students will be able to explain intelligent agent frameworks, apply problem-solving, game playing, and CSP techniques, and perform logical and probabilistic reasoning.

⬇️ Join Our Telegram Community for Free - https://t.me/ds_learn

4 Important Things to Do:

✅ Save This Post for Future
✅ Turn on Post, Reel & Story Notifications to Get Early Access to Shared Resources
✅ Subscribe our Instagram Channel for exclusive contents
✅ Share it with your Friends

Hashtags & Keywords :

[coding, Placement, Coding, coding courses, ReactS, Roadmap, resume]

25/08/2025

📍Day 122: Artificial Intelligence Course - Unit I (Part 2) ✅ Follow for more🚀

📝 All notes are shared as PDF with our Exclusive Instagram Subscribers 👑. Click subscribe button in bio to access it.👇

✅ Course objectives

The main objectives of this course are to:

* Learn the basic AI approaches.
* Develop problem-solving agents.
* Perform logical and probabilistic reasoning.

✅ Syllabus Overview

The course is divided into five units covering key areas of Artificial Intelligence:

* Unit I: Intelligent Agents
* Unit II: Problem Solving
* Unit III: Game Playing and CSP
* Unit IV: Logical Reasoning
* Unit V: Probabilistic Reasoning

✅ Course Outcomes

Upon completion, students will be able to explain intelligent agent frameworks, apply problem-solving, game playing, and CSP techniques, and perform logical and probabilistic reasoning.

⬇️ Join Our Telegram Community for Free - https://t.me/ds_learn

4 Important Things to Do:

✅ Save This Post for Future
✅ Turn on Post, Reel & Story Notifications to Get Early Access to Shared Resources
✅ Subscribe our Instagram Channel for exclusive contents
✅ Share it with your Friends

Hashtags & Keywords :

[coding, Placement, Coding, coding courses, ReactS, Roadmap, resume]

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