Artificial Intelligence Machine Learning – Instructor Led Course

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    Anshu Pandey
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  • (11 Reviews)

Artificial Intelligence Machine Learning – Instructor Led Course

Artificial Intelligence Machine Learning 

Course Overview

Artificial Intelligence and Machine Learning course. Artificial intelligence is the recreation of human insight through machines. Machine learning is a connected insight or arithmetic. It is a subfield of software engineering.

If you are a computer geek, if you love coding and wish to explore dimensionless world of programming, TechTrunk brings you the core Artificial Intelligence Training which will take you through core development and programming experience and will make you expert in writing algorithms for AI applications, you will learn Machine Learning, Linear Regression, Artificial Neural Network, Support Vector Machine and much more.

Course Cover

  1. Python Programming
  2. Machine Learning Algorithms
  3. Supervised Learning – Linear Regression, Logistic Regression, SVM, Decision Tree, Random Forest, and ANN
  4. Unsupervised Learning Algorithms – K Means, DBSCAN, Anomaly Detection, PCA
  5. Time Series Forecasting
  6. NLP – Sentiment Analysis, Chatbots
  7. Computer Vision – Face Recognition, Emotion Detection

Course Objective

Toward the finish of this course, you will have the capacity to
  1. Identify potential zones of uses of Machine Learning for AI
  2. Providing experience of working with real-time applications of Artificial Intelligence  Machine Learning Course to the learner.
  3. Make a learner easily land up to a job role of either Data Scientist, Machine Learning Engineer, NLP Expert in IT Industry

Software & Tools

A learner will be using given software and tool during this machine learning course, Instructor will help to the learner for installing the software.



  1. Basic Understanding of Python Programming Language.

Machine Requirement

  1. Windows Machine (Windows 7 or Above) /Linux Machine
  2. Only 64 Bit
  3. 4 GB RAM (8 GB Recommended)
  4. Internet Connection (Minimum 2mbps)

We will cover +5 Capstone Projects, Assignment, and Quizzes out of giving 13 projects

  1. Churn Prediction for an Enterprise
  2. Real-time Emotion Detection from speech and Face
  3. Real-time Brand Analysis from Social Media Data
  4. Criminal Detection System using Face Recognition
  5. Smart Factory – Predictive Maintenance
  6. IPL Prediction using Machine Learning
  7. Enron Fraud Detection
  8. Credit card Fraud Detection
  9. Tumor Detection from Brain MRI Images
  10. Utility-based Chatbot
  11. Support Ticket Classification system
  12. Character Recognition
  13. Chatbot

Study Material

  1. PPTs
  2. Practice Examples
  3. Reading Material in softcopy
  4. Project Codes
  5. Projects and Assignment
  6. Lifetime access to Learning Management Systems (Here learner will get recorded videos of live session)

Suggested relevant courses after taking this course

Deep Learning

Suggested Job Profile after taking this course

  1. Data Scientist
  2. Machine Learning Engineer
  3. AI Engineer
  4. NLP Expert
  5. Data Analyst
  6. BI Professional
  7. R & D Professional

Course Code: TTV/IND/00025

Download full Course Curriculum

Let’s talk one to one ! talk to our techincal expert


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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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    Santosh has over 18 years of experience in IT and has demonstrated the ability to lead diverse teams to new levels of success in a variety of highly competitive and fast-paced environments, with skills in SAP, AI, Anaytics, machine learning, digital transformation and IOT. He has good record of accomplishment in challenging and complex assignment. He carries a blend of strong technical and management skills Work Geography: Apart from India, he worked for 6 years in client facing roles across US, Europe (France, London, Germany) and South East Asia.


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    • October 23, 2018 at 11:54 am

      Very great material and thanks to all the mentors and community for rapid replies on the doubts. Surely recommended for all those who want to start into AI and ML

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