Coding with AI
Use AI copilots, LLMs, and RAG architectures to boost software‑development productivity while maintaining security.
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Audience: Developers, data scientists, team leads, project managers
Duration: 3–5 days
Format: Lectures & hands‑on labs (50% lecture, 50% lab)
Overview
Programmers who leverage AI will outperform those who do not. This course teaches how to build systems using AI responsibly—keeping code private, using local models when needed, and adopting best cloud practices.
Objective
Use AI copilots, LLMs, and RAG architectures to boost software‑development productivity while maintaining security.
What You Will Learn
- Prompt engineering fundamentals
- Chatbot integration for developer workflows
- Secure AI deployments (local models, private clouds)
- Best practices for RAG in software projects
- Hands‑on with GitHub Copilot, Claude, and ChatGPT
Course Details
Audience: Developers, data scientists, team leads, project managers
Duration: 3–5 days
Format: Lectures & hands‑on labs (50% lecture, 50% lab)
- General ML familiarity
- Coding experience
- Python helpful
Setup: Zero‑install cloud lab • Laptop • Chrome browser
Detailed Outline
- Iterative dev
- Marketing copy generation
- Chatbot dialogues
- Multi‑cloud RAG overview
- Debugging Gen AI
- Best practices
- GitHub Copilot
- Claude 3.5 Sonnet
- ChatGPT architecture & tests
- Using Llama for private coding
- Links to Coursera courses on Copilot, Generative AI, AI‑powered design
Ready to Get Started?
Contact us to learn more about this course and schedule your training.