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
- Introduction
- Ice Breaker
- Exploration
- History of python
- Code Review [Demo]
- System Requirement Exploration
- IDE
- Interpreters
- Compilers
- Amazing Achievements of python
- Testing Arena
- Prototyping
- Compiled Services
- Big Data
- Mobile Applications
- Machine Learning
- Artificial Intelligence
- Neural Networks
- Image Processing
- Deep Fakes
- How to get into python
- Knowing what you want
- Guide to becoming a developer
- Understanding goals
- The python plan
- How python is changing
- Trends of adoption
- Preparing for future changes
- The future projections of python
- The future for Analytics
- The future for Development
- The future for Managers
- The future for Finance
- The future for Industry players
- Conclusion
Practical, connected learning
My wider training approach brings hands-on implementation and systems thinking together, connecting technology with real operational needs.