Artificial Intelligence and Machine Learning -Self Learning Course

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    Anshu Pandey
  • 3526 (Registered)
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Course Overview

Machine Learning and Artificial intelligence is Gain expertise in one of the most fascinating and fastest growing areas of computer science through an innovative online program that covers fascinating and compelling topics in the field of Artificial Intelligence and its applications

Machine learning is a connected insight or arithmetic. It is a subfield of software engineering. This part gives a short presentation about the Machine learning, history of machine learning, sorts of issues and errands in machine learning and its calculations.

Course Objective

Toward the finish of this course, you will have the capacity to
  1. Identify potential zones of uses of Machine Learning & AI
  2. This course covers foundational concepts and hands-on learning of leading machine learning tools, such as Python and TensorFlow.
  3. Providing Handon experience on a real-time case study.
Course Outcome

The results are truly intriguing, after this course, you ought to have a solid comprehension of machine learning and Artificial Intelligence with the goal that you can seek after any further and further developed learning.





and other …



Candidate must have basic knowledge of any programing language & Mathematics

Software and Machine –

  • Anaconda – (According to bit version 32 bit for 32 Machine and 64 bit for 64-bit machine)
  • Python Libraries used (Most of them are already available in Anaconda, others we will install during the training)
Machine Requirement:
  • Recommended – Machine with 4GB RAM, i3 or above quad-core processor
  • Requirement: Working Internet Connection throughout the training for participants.


Course Curriculum

Curriculum is empty


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A Technical expert and a passionate trainer has expertise in the field of Artificial Intelligence, Machine Learning and IoT, he has a proven work record of delivering more than 100+ workshops and Technical Training in various technologies and domains at the top MNCs, premier organizations including IITs, NITs and other premier educational organizations. He has delivered 50+ corporate Training to clients from India and abroad. Skills- Programming Languages: Python, Arduino, R, MATLAB Scripting Languages: HTML, JS, CSS AI Skills: Machine Learning – Linear & Logistic Regression, Clustering, Artificial Neural Networks, SVM, Genetic Algorithm, Fuzzy Logic, Natural Language Processing, PCA, CNN, LSTM AI, ML Tools & Platforms: Python, Tensorflow, Keras, Azure ML, AWS, Apache Spark Hardware: Arduino, Raspberry Pi, AVR, Intel Edison, Xbee, LoRaWAN IoT Platforms: AWS IoT, Thingworx, ThingsBoard, IBM Watson IoT, ThingSpeak, myDevices, Twilio, node-red, Ubidots, PubNub, IoT Gateway


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