Faysal AzizFA-0775Software DevelopmentOthers
Python from a Non-Programming Perspective
A no-code overview of capabilities, use cases and adoption decisions
Introduction
Why this course
A no-code introduction to what Python is, how Python-based solutions work and when they may be useful. Observe code demonstrations and discuss practical applications, limitations and learning pathways without writing a program.
Learning outcomes
Learning outcomes
- Describe Python and recognise how code, interpreters and development tools fit together.
- Compare Python benefits, limitations and representative application areas.
- Identify factors to consider when adopting Python or beginning developer training.
- Discuss AI, analytics and industry applications without treating future projections as guaranteed outcomes.
Prerequisites
Prerequisites
Basic computer and internet skills and ability to follow English-language explanations. A computer and reliable connection are useful for demonstrations.
Training outline
4 modules
·
01Module 1 — Python explained3 topics
- Introduction, exploration and a brief history of Python.
- Observe a code demonstration: system requirements, editors, interpreters and compilation concepts.
- Compare capabilities and limitations; a compiled implementation or service wrapper is not a universal Python deployment model.
02Module 2 — Application areas4 topics
- Testing and prototyping.
- Services, large-data processing and mobile application approaches using suitable frameworks.
- Machine learning, AI, neural networks and image processing.
- Synthetic media and deepfake examples as an application discussion, not a creation lab.
03Module 3 — Learning and adoption decisions2 topics
- 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
Distinguish current documented capabilities from adoption trends and possible future scenarios.
04Module 4 — Professional perspectives3 topics
- Possible implications for analytics and software development.
- Considerations for managers, finance professionals and industry practitioners.
- Summary and questions.
Who this course is for
- C-Level team members
- Finance professionals
- Review bodies
- Supervisors
- Authors
- Freshers wanting to explore programming
- Anyone interested in Machine Learning and Artificial Intelligence
A programme built around your team.
Share your training goals and requirements.