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Python from a non-programming perspective

Python from a non-programming perspective

This is a no-code non programming half-day course that aims to take the learner through a journey of python to give insights on what python is, what it can and cannot do, how it is being used and how it affects the future.

Targeted Audience:

  • C-Level team members
  • Finance professionals
  • Review bodies
  • Supervisors
  • Authors
  • Freshers wanting to explore programming
  • Anyone interested in Machine Learning and Artificial Intelligence

Prerequisites:

It is expected that the pupil shall have the following at hand when participating in the course:

  • Steady Audio / Video connection
  • PC / Laptop
  • Internet with at least 1 MBPS connection
  • Ability to comprehend English

Expected Outcome:

By the end of this training session, the participants shall have the following gains:

  • Understanding of what python is
  • How python coding works
  • Pros. / Cons. of python
  • Python in the world usage now
  • Factors to consider before delving into python
  • Artificial Intelligence and Machine Learning world
  • Ability to comprehend the future of python in the industry

Outline:

Total Duration: 4 hours

Breaks: 15 minutes

Q/A: 15 minutes

Mode of delivery: Online via Video Conferencing

  1. Introduction
  2. Ice Breaker
  3. Exploration
  4. History of python
  5. Code Review [Demo]
    1. System Requirement Exploration
    2. IDE
    3. Interpreters
    4. Compilers
  6. Amazing Achievements of python
    1. Testing Arena
    2. Prototyping
    3. Compiled Services
    4. Big Data
    5. Mobile Applications
    6. Machine Learning
    7. Artificial Intelligence
    8. Neural Networks
    9. Image Processing
    10. Deep Fakes
  7. How to get into python
    1. Knowing what you want
    2. Guide to becoming a developer
    3. Understanding goals
  8. The python plan
    1. How python is changing
    2. Trends of adoption
    3. Preparing for future changes
  9. The future projections of python
    1. The future for Analytics
    2. The future for Development
    3. The future for Managers
    4. The future for Finance
    5. The future for Industry players
  10. Conclusion

Practical, connected learning

My wider training approach brings hands-on implementation and systems thinking together, connecting technology with real operational needs.