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Gate Smashers via YouTube Video playlist

Artificial Intelligence (Complete Playlist)

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Overview

Master Artificial Intelligence (AI) | Complete AI Course from Basics to Advanced

🤖 Artificial Intelligence (AI) is revolutionizing industries like healthcare, finance, automation, and robotics. Whether you're a beginner, student, or preparing for competitive exams, certifications, or job interviews, this complete AI playlist covers everything you need to become an AI expert!

What You’ll Learn in This Playlist?

✅ Introduction to AI – What is AI, history, and real-world impact

✅ Types of AI – Narrow AI vs. General AI vs. Super AI

✅ Machine Learning & Deep Learning – How AI systems learn and evolve

✅ Search Algorithms in AI – BFS, DFS, A* algorithm explained

✅ Knowledge Representation & Reasoning – How AI understands and processes data

✅ Expert Systems & Fuzzy Logic – AI decision-making in uncertain conditions

✅ Natural Language Processing (NLP) – AI in chatbots, speech recognition & translation

✅ Computer Vision & Image Processing – AI-powered face and object recognition

✅ Robotics & AI Applications – Self-driving cars, automation, and smart assistants

✅ AI Ethics & Future Trends – Responsible AI, bias, and AI’s impact on jobs

✅ Career Opportunities in AI – Job roles, certifications, and roadmap

Who Is This Playlist For?

✔️ Engineering, BCA, MCA, and IT Students preparing for university exams

✔️ Beginners who want to start a career in Artificial Intelligence

✔️ Job seekers preparing for AI, Data Science, and Machine Learning interviews

✔️ IT Professionals & Developers looking to upskill in AI & Deep Learning

✔️ Entrepreneurs & Startups exploring AI-powered business solutions

🔥 Why Watch This Playlist?

🔹 50+ well-structured videos covering university syllabus & real-world applications

🔹 Hands-on demonstrations & coding examples using Python, TensorFlow, & PyTorch

🔹 Beginner-friendly yet industry-level depth

🔹 Explains top interview & AI certification topics in an easy-to-understand way

🔔 Subscribe now & start your journey in Artificial Intelligence! 🚀

#ArtificialIntelligence #AI #MachineLearning #DeepLearning #AIApplications #ComputerVision #NLP #SearchAlgorithms #AIinHealthcare #AIinFinance #AIinBusiness #DataScience #AIinAutomation #AIModelTraining #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #AIInterviewQuestions #AIResearch #NeuralNetworks #Robotics #AIEthics #AIJobs

Videos in this playlist 60

  1. Lec-1: Artificial Intelligence Syllabus Discussion and Analysis for NTA UGC NET
  2. Lec-2: What's the FUTURE of Artificial Intelligence in 2025
  3. Lec-3: What is Artificial Intelligence | Learn AI with Real Life Examples | Can Machine Think??
  4. Lec-4: What is State Space Search | Introduction to Problem Solving in Artificial Intelligence
  5. Lec-5: Uninformed Vs Informed Search in Artificial Intelligence with Example
  6. Lec-6: Informed vs Uninformed vs Adversarial Search With Examples | Artificial Intelligence
  7. Lec-7: Breadth First Search (BFS) with example | Uninformed Search | Artificial Intelligence
  8. Lec-8: Depth First Search (DFS) with example | Uninformed Search | Artificial Intelligence
  9. Lec-9: Time & Space Complexity of BFS and DFS | Artificial Intelligence
  10. Lec-10: Bidirectional Search Algorithm in Artificial Intelligence in Hindi with Real Life Examples
  11. Lec-11: Best First Search Algorithm | How it Works | All Imp Points(Pros & Cons)
  12. Lec-12: Depth-Limited Search (DLS) Explained | Uninformed Search in AI
  13. Lec-13: Iterative Deepening Depth-First Search (IDDFS) | Artificial Intelligence
  14. Lec-14: 8-Puzzle Problem in Artificial Intelligence without Heuristic | All Imp Points | Must Watch
  15. Lec-15: What is Heuristic in AI | Why we use Heuristic | How to Calculate Heuristic | Must Watch
  16. Lec-16: How to Solve 8-Puzzle Problem with Heuristic(Informed Search) in Artificial Intelligence
  17. Lec-17: Generate and Test Search in Artificial Intelligence with Examples | Heuristic Search
  18. Lec-18: Beam Search Algorithm | All Imp Points | Heuristic Search Techniques
  19. Lec-19: Hill Climbing Algorithm in Artificial Intelligence with Real Life Examples| Heuristic Search
  20. Lec-20: A* algorithm in AI (artificial intelligence) in HINDI | A* algorithm with example
  21. Lec-21: How to Proof A* Admissible| Underestimation & Overestimation of A* in Hindi
  22. Lec-22: AO* algorithm in AI (artificial intelligence) in HINDI | AO* algorithm with example
  23. Lec-23: Introduction to Game Playing | Learn Game Playing Algorithms with Example
  24. Lec-24: Minimax Algorithm in Game Playing | Artificial Intelligence
  25. Lec-25: Alpha Beta Pruning in Hindi with Example | Artificial Intelligence
  26. Lec-26: Knowledge Representation and Reasoning | Logic, Semantic Net, Frames etc.
  27. Lec-27: Propositional Logic in Artificial Intelligence | Knowledge Representation | All Imp Points
  28. Lec-28: Introduction to Intelligent Agents and their types with Example in Artificial Intelligence
  29. Lec-29: Simple Reflex Agent in Artificial Intelligence with Example | Artificial Intelligence
  30. Lec-30: Model Based Reflex Agent in Artificial Intelligence in HINDI with Real Life Examples
  31. Lec-31: Goal Based Agents in Artificial Intelligence with real life examples in HINDI
  32. Lec-32: Utility Based Agents in Artificial Intelligence in Hindi with real life examples
  33. Lec-33: Fuzzy Logic in Artificial Intelligence with Example | Artificial Intelligence
  34. Lec-34: Various Operations in Fuzzy Logic with Example | Union, Intersection, Complement etc.
  35. Lec-35: Introduction to Neural Networks with Example in HINDI | Artificial Intelligence
  36. Lec-36: Natural Language Processing in Artificial Intelligence in Hindi | NLP with Demo and Examples
  37. Lec-37: Supervised, Unsupervised and Reinforcement Learning in Artificial Intelligence in Hindi
  38. Lec-38: Genetic Algorithm in Artificial Intelligence | Simplest Explanation with real life examples
  39. Lec-39: What is Constraint Satisfaction | Constraint Satisfaction Problem (CSP) in AI with Example
  40. Lec-40: How Constraint Satisfaction Algorithm Works | Explained with Interesting Example | AI
  41. Lec-41: Branch & Bound Algorithm with Example | Easiest Explanation of B&B with example
  42. Lec-42 : 0/1 Knapsack using Branch and Bound with example
  43. When There is Uncertainty🤨#artificialintelligence #shorts #ytshorts #machinelearning
  44. Lec-43: Propositional Logic | Artificial Intelligence
  45. Lec-44: Predicate Logic | Artificial Intelligence
  46. Lec-45: How to write First order/Predicate logic | Artificial Intelligence
  47. Lec-46: Negation of Quantifiers | Predicate Logic | Logic with Certainty | Artificial Intelligence
  48. Lec-47: Questions on Propositional & Predicate logic | How to Solve Problems in Logic
  49. Lec-48: Bayes Theorem & Total Probability with Examples
  50. Lec-49 : Network with Examples | Easiest Explanation
  51. Lec-50: Question on Bayesian Network | Artificial Intelligence
  52. Lec-51: Bayesian Network Numerical Example #gate2025preparation
  53. Lec-52: Probabilistic Inference | Sampling | Artificial Intelligence
  54. Lec-53: Likelihood Weight Sampling | Inference through Sampling | Uncertainty in Artificial
  55. Lec-54: Question on Likelihood Sampling | Probabilistic Inference | Sampling | Artificial
  56. Lec-55: Rejection Sampling | Probabilistic Inference | Sampling | Artificial Intelligence
  57. Lec-56: Reasoning under Uncertainty in Artificial Intelligence
  58. Lec-57: Uncertainty probabilistic inference (Markov Model) | Artificial Intelligence
  59. Lec-58: Introduction to Hidden Markov Model | Artificial Intelligence
  60. Lec-31: Token & Parameters in LLama3 META Models | 8B & 70B Parameters Model | GPT model

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • Taught in Hindi (or Hinglish), which many students find easier to follow.
  • Made for Indian students, with placement and exam context.
  • 2,862,957 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (60 videos) you can see before you start.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • Less depth than a university course on some topics.
  • No certificate.
  • No graded assignments or feedback.
  • Recorded in 2019: tools may have changed since.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Gate Smashers is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (76/100). GATE and university CS subjects in Hindi.

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