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Learning Emerging Technologies
in the age of
MOOC
Reads 500 to 1000 pages per day
Upto 2 books in a weekend
50 Books a Year
Motivation to Daily Learning
• Enhances the functioning and the efficiency of the brain
• Opens new doors, new opportunities to innovate
• Help others
© 2014 PayPal Inc. All rights reserved. Confidential and proprietary.
Major
Disruptors
4
Refresher Course
• Free course
• Where: Udacity
• Covers Descriptive and Inferential Statistics basics
• Linear Algebra and Calculus
• Khan Academy
• https://www.khanacademy.org/math/linear-algebra
• https://www.khanacademy.org/math/multivariable-calculus
• Course: Machine Learning
• Where: Coursera
• Instructor: Andrew Ng’s
• Covers the Mathematics part of the Machine learning
• Tool: MATLAB
• One of the best course in the online industry
• 11 Weeks course
• Course: Analytics Edge
• Where: EDX
• Tool: R & Python
• Basics of all machine learning concepts
• 9 Weeks course
• Course: Principles of Machine Learning
• Where: EDX
• Tool: Azure ML
• Basics of all machine learning concepts
• 9 Weeks course
AI
• Course: Introduction to Machine Learning
• Offered by : IIT Kharagpur
• Tool: Python
• Certification offered in-person exam by IIT
• 8 Weeks course
• Course: 5 course Deeplearning Specialization
• Where: coursera
• Tool: Python
• Framework: Tensorflow, Keras
• One of the best in the industry
• Course: deeplearning
• Where: fast.ai
• Tool: Python
• Very hands on approach
• No certification
• Watch out for the Cloud utilization and bills
AI
• Analytics Vidya
• Datascience central
• Linkedin
• Medium
Other Channels
• Course: 4 Course Blockchain Specialization
• Where: Coursera
• Instructor: University of Buffalo
• Tool: Ethereum
• Course: Bitcoin and Cryptocurrency technologies
• Where: Coursera
• Basics of the Blockchain technology and architecture and
bitcoin/crypto
• 11 Weeks course
• Course assignments in Java
• Course: Blockchain Architecture Design and Use Cases
• Where: NPTEL ( IIT Kharagpur + IBM )
• Tool: Hyperledger Fabric
• Architecture of Blockchain and implementation of simple smart
contract
• Certification offered by IIT after in-person exam
• 12 Weeks course
Blockchain
• Course: Blockchain A to Z
• Where: Udemy
• Tool: Python
• Simplifies very complex concepts. Covers the width of the subject
• Programming a basic Blockchain, cryptocurrency and a smart
contract
Blockchain
• Articles - Medium
• Discussion Forums – Bitcointalk
Other Channels
• Course: Data Engineering on Google Cloud Platform
• Where: Coursera
• 5 course specialization
• Covered: Big data, Structured and Unstructured data, Machine
Learning and AI API’s
• Course: BigData Specialization
• Where: Coursera
• University of California
Bigdata and Cloud Computing
• Course: BigData Refresher
• Where: Udemy
• Covers the width of the Bigdata space
Some Tips
• Take your own class notes
• Replay the videos until clear
• Learn in Sprints
• Use your Commute
• Use your weekends
• Go Mobile
• Maintain a Journal
• Motivate your friends to join with you
• Train your friends
• Mentor projects
• Don’t get lost in the links
• Take only 1 or 2 skills/courses at the same time
• Take it easy
Thank you!

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Learning Emerging Tech

  • 2. Reads 500 to 1000 pages per day Upto 2 books in a weekend 50 Books a Year
  • 3. Motivation to Daily Learning • Enhances the functioning and the efficiency of the brain • Opens new doors, new opportunities to innovate • Help others
  • 4. © 2014 PayPal Inc. All rights reserved. Confidential and proprietary. Major Disruptors 4
  • 5. Refresher Course • Free course • Where: Udacity • Covers Descriptive and Inferential Statistics basics • Linear Algebra and Calculus • Khan Academy • https://www.khanacademy.org/math/linear-algebra • https://www.khanacademy.org/math/multivariable-calculus
  • 6. • Course: Machine Learning • Where: Coursera • Instructor: Andrew Ng’s • Covers the Mathematics part of the Machine learning • Tool: MATLAB • One of the best course in the online industry • 11 Weeks course • Course: Analytics Edge • Where: EDX • Tool: R & Python • Basics of all machine learning concepts • 9 Weeks course • Course: Principles of Machine Learning • Where: EDX • Tool: Azure ML • Basics of all machine learning concepts • 9 Weeks course AI
  • 7. • Course: Introduction to Machine Learning • Offered by : IIT Kharagpur • Tool: Python • Certification offered in-person exam by IIT • 8 Weeks course • Course: 5 course Deeplearning Specialization • Where: coursera • Tool: Python • Framework: Tensorflow, Keras • One of the best in the industry • Course: deeplearning • Where: fast.ai • Tool: Python • Very hands on approach • No certification • Watch out for the Cloud utilization and bills AI
  • 8. • Analytics Vidya • Datascience central • Linkedin • Medium Other Channels
  • 9. • Course: 4 Course Blockchain Specialization • Where: Coursera • Instructor: University of Buffalo • Tool: Ethereum • Course: Bitcoin and Cryptocurrency technologies • Where: Coursera • Basics of the Blockchain technology and architecture and bitcoin/crypto • 11 Weeks course • Course assignments in Java • Course: Blockchain Architecture Design and Use Cases • Where: NPTEL ( IIT Kharagpur + IBM ) • Tool: Hyperledger Fabric • Architecture of Blockchain and implementation of simple smart contract • Certification offered by IIT after in-person exam • 12 Weeks course Blockchain
  • 10. • Course: Blockchain A to Z • Where: Udemy • Tool: Python • Simplifies very complex concepts. Covers the width of the subject • Programming a basic Blockchain, cryptocurrency and a smart contract Blockchain
  • 11. • Articles - Medium • Discussion Forums – Bitcointalk Other Channels
  • 12. • Course: Data Engineering on Google Cloud Platform • Where: Coursera • 5 course specialization • Covered: Big data, Structured and Unstructured data, Machine Learning and AI API’s • Course: BigData Specialization • Where: Coursera • University of California Bigdata and Cloud Computing • Course: BigData Refresher • Where: Udemy • Covers the width of the Bigdata space
  • 13. Some Tips • Take your own class notes • Replay the videos until clear • Learn in Sprints • Use your Commute • Use your weekends • Go Mobile • Maintain a Journal • Motivate your friends to join with you • Train your friends • Mentor projects • Don’t get lost in the links • Take only 1 or 2 skills/courses at the same time • Take it easy