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With Bhairav Mehta (Data Science Mgr, Apple).
Saturday, July 13, 2019 at 09:00 AM   Absolutely Free
International Technological University ITU, 2711 N 1st St
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All new content!! 2 day Deep/Machine Learning & AI Training Erudition

Erudition is offering AI Deep Learning training on July[masked].

Our mission: Erudition's mission is to provide education in emerging technologies to masses at no cost or very affordable rate. What is life's objective at the end of the day? Life is fleeting, & permanence in this world is something we all strive for. The best way to achieve permanence is through sharing knowledge.

Doesn't matter if you are aligned to left brain or right brain you can join Erudition in your Emerging Technologies training!! We will also provide interview help & placement services.

You will get USD300.00 worth of books for Free!! That are written by Bhairav Mehta & other authors.

Time Date : July[masked]AM to 6PM

Location: ITU, 2711 North First Street, San Jose, CA 95124

Cost: 200USD

Instructor: Bhairav Mehta

Bhairav Mehta is Data Science Manager at Apple He has 15 years experience in Analytics & Data Science space at various fortune 100 companies. Bhairav Mehta is academician & tenured faculty at various Bay area Universities. Bhairav Mehta has taught 1000s of students in AI, ML & Big Data technologies over last 5 years. He also gives talks at Association of Computing Machinery (ACM), IEEE Computer Science society, Global Big Data & AI conferences, Open Data science conference & other forums. Bhairav Mehta has 5 graduate degrees from top institutes: MS Computer Science (GeorgiaTech), MBA (Cornell University), MS Statistics (Cornell University) etc.

Linkedin Profile:

Erudition Website:

Bhairav Mehta talk videos & other conference proceedings:

What is this course about?

What do web search, speech recognition, face recognition, machine translation, autonomous driving, & automatic scheduling have in common? These are all complex real-world problems, & the goal of artificial intelligence (AI) is to tackle these with rigorous mathematical tools. In this course, you will learn the foundational principles that drive these applications & practice implementing some of these systems. Specific topics include machine learning, search, game playing, Markov decision processes, constraint satisfaction, graphical models, & logic. The main goal of the course is to equip you with the tools to tackle new AI problems you might encounter in life.


Day 1
Industry Trends, Machine Learning methods, Python Illustrations, AI Intro, Neural Networks Intro, First Neural Network, Convolution Neural Network

Day 2
Convolution Neural Network continued, Natural Language processing, Text Mining, RNN LSTM, Chatbots, GRU, RCNN, Mask RCNN, Generative & Adversarial Models, Reinforcement Learning

Review & Introduction to advanced concepts in Neural Networks e.g. Reinforcement Learning, Generative Adversarial Networks, Autonomous Driving car etc.

Intended Audience

Programmers, analysts, managers, investors, enthusiast pretty much anyone technically curious about deploying Machine Learning.


Deep Learning

An MIT Press book

Ian Goodfellow & Yoshua Bengio & Aaron Courville

Other Reading Material:

Slides (To be delivered separately)

Following material will be provided by Bhairav Mehta (It is worth USD300.00)

4 workshop guides will be provided

Deep Learning & Python CNN

Deep Learning & Natural Langugage Processing


Each topic includes codes & explanation step-by-step


Bhairav Mehta



Email: [masked]

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