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  • Basic Idea of Artificial Intelligence and Machine Learning
  • Prerequisites or Road map to start Machine learning project(ML)
  • How to choose the best programming language for AI ?
  • How much Mathematical knowledge needed for AI ?
  • Which is the best AI Engine/Tool/Framework for AI ?
  • Why do we need to learn Algorithm?
  • Types of Machine Learning Algorithms with Real time scenario examples

This course is created for all the Artificial Intelligence Aspirants who have many queries in mind like

1. What are prerequisites for learning AI?

2. What is Road map to start Machine learning project(ML)

3. How to choose the best programming language for AI ?

4. How much Mathematical knowledge needed for AI ?

5. Which is the best AI Engine/Tool/Framework for AI ? and so on...

Each video is created with real time scenario examples in simple language. So that anyone without programming knowledge can understand in depth about Artificial Intelligence and Machine Learning.

The contents were prepared based on maximum queries searched in google or posted in AI forum.

At the end of this course you will get clear clarity on how much effort needed to start your career in Artificial Intelligence or Machine Learning Projects.

Note: All AI prerequisites topics like programming language , Mathematics , Machine Learning Algorithms will be posted soon as free course. Keep following.  Happy Learning !! 

  • Passion to learn alone is enough to start this course
  • Artificial Intelligence Aspirants
  • Machine Learning Aspirants
  • Curiosity to know about Artificial Intelligence
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  • Section 1 : Introduction to Artificial Intelligence 2 Lectures 00:06:51

    • Lecture 1 :
    • Introduction to Artificial Intelligence Preview
    • This video explains the below topics :  * What is Intelligence ? * Difference between Natural and Artificial Intelligence * Definition of Artificial Intelligence * Artificial Intelligence in Automobile Industry, Medical Field , Educational Sector etc. * AI usage in search engines like Amazon Kindle, iTunes and Facebook Photo tag
    • Lecture 2 :
    • Introduction to Artificial Intelligence
    • Quiz about Introduction to Artificial Intelligence
  • Section 2 : Road Map for AI and Machine Learning (ML) 3 Lectures 00:13:11

    • Lecture 1 :
    • Programming and Mathematics Requirements
    • This video explains the below topics :  Sample Scenario of Natural Intelligence Road Map to Artificial Intelligence Programming Language Requirement Mathematical Knowledge Requirement
    • Lecture 2 :
    • Machine Learning Algorithms and AI Engine Requirements
    • This video explains the below topics :  What is Algorithm? List of Machine Learning Algorithm List of Machine Learning Tool/Engine/Framework AI Case Study Conclusion
    • Lecture 3 :
    • Road Map Quiz
    • Road Map Quiz
  • Section 3 : Introduction to Machine Learning 2 Lectures 00:07:48

    • Lecture 1 :
    • Introduction to Machine Learning
    • This video explains the below topics :  Practical Scenario for Machine Learning How to do Product Analysis? How to do Algorithm Planning? Definition of Machine learning Types of Machine Learning
    • Lecture 2 :
    • Introduction to Machine Learning
    • Quiz on ML
  • Section 4 : Types of Machine Learning 6 Lectures 00:20:59

    • Lecture 1 :
    • Supervised Machine Learning
    • This video explains the below topics :  Definition of ML How Supervised Learning works?  Definition of Supervised learning Difference between Classification vs Regression Model List of Classification Algorithms List of Regression Algorithms Sample output of Classification and Regression Model How to choose Algorithm for your Project?
    • Lecture 2 :
    • Unsupervised Machine Learning
    • This video explains the below topics :  Overview on Supervised Learning Scenario How Unsupervised Learning works?  K-Means Cluster Algorithm Simulation Definition of Unsupervised Learning List of Unsupervised Learning Algorithm Clustering vs Dimensionality Reduction Examples
    • Lecture 3 :
    • Reinforcement Machine Learning
    • This video explains the below topics :  Teaching Chess Game to a kid Reinforcement Learning Process using Chess Game Deep Blue Case Study Reinforcement Learning Process using Mario Game Definition of Reinforcement Learning Types of Tasks Types of Learning Exploration trade off List of Reinforcement Algorithms
    • Lecture 4 :
    • Supervised Machine Learning
    • Supervised Machine Learning in depth
    • Lecture 5 :
    • Unsupervised Machine Learning
    • Unsupervised Machine Learning in depth
    • Lecture 6 :
    • Reinforcement Machine Learning
    • Reinforcement Machine Learning in Depth
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I’m a passionate trainer, scrum master and mentor with over 8+ years of experience in the field of Automation testing, Quality Assurance and Machine Learning Worked at Tata Consultancy Services and Cognizant Technology Solutions with onsite experience as Automation Consultant in Belgium and Kingdom of Saudi Arabia. Till now I have successfully completed Automation training for 15+ batches . Most of them have been placed in well reputed IT companies / Automation projects. Presently working as full time Automation Trainer and also exploring more in Artificial Intelligence(Machine Learning) area’s. 
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