Artificial Intelligence machine Learning and Deep Learning- Instructor Led Course

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    Anshu Pandey
  • 4862 (Registered)
  • (3 Reviews)

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Course Overview-

Artificial Intelligence, Machine Learning, and Deep Learning course have been composed by two expert Data Scientists with the goal that we can share our insight and enable you to learn complex hypothesis, calculations and coding libraries.

Manmade brainpower will characterize the up and coming age of programming arrangements. This software engineering course gives a review of AI, Machine Learning and Deep Learning clarify how it can be utilized to assemble brilliant applications that assistance associations be more proficient and advance individuals’ lives.

The Course covers –

  1. Machine Learning Algorithms
  2. Supervised Learning – Linear Regression, Logistic Regression, SVM, Decision Tree, Random Forest, and ANN
  3. Unsupervised Learning Algorithms – K Means, DBSCAN, Anomaly Detection, PCA
  4. Time Series Forecasting
  5. NLP – Sentiment Analysis, Chatbots
  6. Computer Vision – Face Recognition, Emotion Detection
  7. Recommendation Systems
  8. Working with Tensorflow, Theano, and keras
  9. GPU Computing
  10. Boosting and Bagging
  11. CNN
  12. RNN and LSTM

Course Objective-

  1. To make the learner identify potential zones of uses of AI, ML and Deep Learning.
  2. Providing experience of working with real-time applications of Artificial Intelligence and Machine Learning 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

Course Outcome-

After completion of this course –
  1. The learner will be able to land up in a job role related to Artificial Intelligence, Machine Learning, and Data Science.
  2. The learner can easily get into other relevant courses such as Deep Learning and Self Driving Car.
  3. The Learner can also easily switch from existing job role with around of 20% hike from the current salary switch to any of the field where AI and Machine Learning is being used.
  4. The learner will become capable of handling any project relevant to AI and ML in a proper way.
  5. The learner will have a complete idea of implementing Deep Learning Algorithms

Course Code


Course Curriculum


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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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  • Admin bar avatar

    October 16, 2018 at 10:56 am

    Course was informative. Teacher is brilliant and information provided was good.

  • October 16, 2018 at 10:47 am

    Very Good and Learn may more things about machine learning.

  • October 16, 2018 at 10:40 am

    This training program was awesome! The concepts are very well explained and the course curriculum is well structured. Overall, it was great experience