AI for Coding and Programming Course
AI for Coding and Programming Course
Practical throughout, using real development scenarios from day one.
Key Learning Points
Key Learning Points
- Understand how AI Assistants differ from AI Agents
- Control the output that AI models generate
- Create production ready applications
- Update and debug existing code
- Manage content and design in applications
Understand how AI Assistants differ from AI AgentsIf attending an online course you must have a licensed copy of any software required and access to a suitable computer.
Some basic knowledge of any coding language is beneficial before attending this course.
Who is this course for?
For developers, software engineers and technical professionals who want to use AI tools to write, debug and deploy code faster. Basic knowledge of at least one coding language is beneficial.
Expert Trainers
Course leader is an experienced industry expert
Course Dates
| Course Dates | Days | Location | Places | RRP | Discount | You Pay | |
|---|---|---|---|---|---|---|---|
| 5-6th Aug 26 | Wed-Thu | Online | Available | £549.00 | £100.00 | £449.00 + VAT | |
| 21-22nd Oct 26 | Wed-Thu | Online | Available | £549.00 | £50.00 | £499.00 + VAT | |
| 7-8th Dec 26 | Mon-Tue | Online | Available | £549.00 | £549.00 + VAT |
| Course Dates | Days | Location | Places | RRP | Discount | You Pay | |
|---|---|---|---|---|---|---|---|
| 5-6th Aug 26 | Wed-Thu | Online | Available | £549.00 | £100.00 | £449.00 + VAT | |
| 21-22nd Oct 26 | Wed-Thu | Online | Available | £549.00 | £50.00 | £499.00 + VAT | |
| 7-8th Dec 26 | Mon-Tue | Online | Available | £549.00 | £549.00 + VAT |
Course Dates
5-6th Aug 26 (Wed-Thu)
21-22nd Oct 26 (Wed-Thu)
7-8th Dec 26 (Mon-Tue)
Course Outline
1. Introduction
Understanding the basics of machine code
Exploring the evolution of higher programming languages
Natural language and its role in coding
Large Language Models (LLMs) and their capabilities
Crafting effective and structured AI prompts
How tokenization impacts AI model responses
Context engineering for better AI understanding
“Vibe coding” and personality-driven development
Using AI assistants to accelerate productivity
Building and managing autonomous AI agents
2. AI Agents for Programming
Understanding the difference between programming and coding
Exploring online AI chatbots for developers
Integrating AI agents directly within IDEs
Using AI agents inside command-line interfaces (CLIs)
3. Controlling AI Models
Writing structured prompts using Markdown syntax
Context prompting for enhanced model comprehension
Advanced prompt engineering for precise outputs
Practical Assignment
4. Writing and Editing Code with AI
Using Visual Studio Code with AI tools
Creating effective context prompts for coding tasks
Planning and implementing projects with AI support
Choosing the right AI model for coding
Understanding Ask, Edit, and Agent interaction modes
Practical Assignment
5. AI Coding Integration Frameworks
Understanding the Model Context Protocol (MCP)
Installing and managing AI-powered IDE extensions
Generating project boilerplates automatically with AI
Using AI for scaffolding and project setup
Editing and refactoring existing code intelligently
Practical Assignment
6. AI for Content and Design in Coding Projects
Turning ideas into structured development plans
Visualising system architecture with AI tools
Defining and documenting the project blueprint clearly
Fact-checking and validating code with AI tools
Repurposing technical materials into new formats
Streamlining your writing process
Practical Assignment
7. The Power of AI in CLI
Using AI effectively in command line environments
Leveraging APIs for custom AI agent workflows
Running and interpreting shell commands with AI help
Managing restricted programming environments
Integrating AI functionalities within your IDE setup
Practical Assignment
8. The Future Directions
Understanding the evolving role of developers in AI
Transitioning from coder to creative curator
Blending writing, design, and programming into one role
Producing code and logic through voice or audio input
Career paths
Roles this course supports
People training on AI for Coding and Programming often work in the careers below.
Who attends?
Career Progressives
Professionals who wish to develop skills for their current role and companies who believe in developing their talent.
Career Changers
People seeking opportunities which require new skills. Industry relevant training for those pursuing a new role.
Graduates
Certified courses for those who have earned their theoretical stripes, but need to prove capability to future employers.
Learn Your Way
Face To Face
Learn face-to-face with expert mentors in a dynamic setting that inspires growth and confidence.
Live Online
Join remotely with expert mentors in real time — flexible, interactive learning that fits your lifestyle.
Team Training
Upskill your team together. Build your team and develop consistency, and collective confidence.
Three Steps To Success
Identify Your Path
Define your direction with purpose, aligning your learning journey to personal and career goals.
Learn With Experts
Gain practical insight from real-world experts who bring clarity, confidence, and momentum to your growth.
Earn Certification
Your certificate of attendance is proof of progress — benchmarking your skills and commitment to growth.
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