AIAdoption.

Generative AI Foundations

Duration4 weeks

FormatLive online + labs

LevelBeginner

FeeEnquire

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Generative AI Foundations

About the course

Generative AI Foundations is the starting point for professionals who need to use, evaluate, and introduce LLMs in real work. You will learn how models generate text, how to design prompts that are reliable, how to spot failure modes, and how to choose the right model for a task. The course stays hands-on: every module ends with exercises you can reuse on the job.

Learning outcomes

  • Explain how LLMs work at a practical level and when not to use them
  • Write structured prompts for analysis, drafting, coding, and summarization
  • Evaluate output quality, bias, and hallucination risk
  • Compare major model families (GPT, Claude, Gemini, Llama) for a given task
  • Produce a small workplace prototype with documented prompts and guardrails

Learning plan

Tokens, context windows, temperature, and the difference between chat models, embeddings, and image models. What “training vs inference” means for buyers and builders.

Hands-on labs and projects

  • Prompt library for a real job function (sales, support, or engineering)
  • Document Q&A with citations — no RAG stack yet, just disciplined prompting
  • Side-by-side model comparison on the same task

Technologies

ChatGPTClaudeGeminiLlamaPrompt libraries

FAQs

No. Coding is optional. Developers can go deeper in later programs; this course is usable by non-engineers.

Related learning path

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