Generative AI & LLMs for Beginners

Generative AI and large language models have moved from research labs to everyday business tools in just a few years. This course takes you from complete beginner to job ready practitioner: how transformers and LLMs actually work, prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents and tool use, evaluation and safety, and how to build real applications end to end. Every concept is taught using one running business scenario so techniques build on each other instead of feeling like disconnected trivia.

author

Rutvik Acharya

Principal Data Scientist

Atlassian

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What You'll Learn

Complete beginners who want a genuine, non-hype understanding of generative AI and LLMs

Product managers, analysts, and marketers who need to work with AI tools and evaluate AI vendor claims

Developers and technical professionals looking to build real LLM-powered applications

Anyone preparing for a role that touches prompt engineering, RAG, or AI agents

Who Should Attend

How LLMs actually work under the hood, from tokens and embeddings to the transformer architecture

How to write reliable prompts and apply advanced reasoning techniques like chain-of-thought and ReAct

How to build RAG pipelines, fine-tune models, and design AI agents with real tool use

How to evaluate, secure, and responsibly deploy generative AI applications in production

CERTIFICATION

Certificate of Completion

Certificate of Participation
Course
12 Modules
16 Hours 30 Minutes
76 Lessons
76 Challenges
Language: English

FAQ

FREQUENTLY ASKED QUESTIONS

No. This course is designed for complete beginners and starts from first principles, building up from what AI and generative AI actually are before introducing any technical concepts. No coding background is required.
The course totals about 16 hours and 30 minutes across 12 modules and 76 lessons. Most learners work through it over several weeks at their own pace rather than in one sitting.
The course covers how large language models actually work, prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents and tool use, evaluating and testing GenAI systems, responsible AI and safety, and building real GenAI applications end to end.
It's built for complete beginners who want a genuine understanding of generative AI, as well as product managers, analysts, and marketers who work with AI tools, developers looking to build LLM-powered applications, and anyone preparing for a role involving prompt engineering, RAG, or AI agents.
Yes. The course closes with two complete portfolio projects: an AI-powered customer support assistant and an internal knowledge base agent with real tool use. Both include full business context, sample data, and complete worked solutions.
Yes. The course uses one consistent running business scenario throughout all 12 modules, so every technique builds on the last instead of feeling like disconnected trivia.
Yes. You'll receive a Certificate of Completion once you finish all 12 modules.
The course includes 76 practice exercises, one paired with each lesson, so you can apply what you just learned before moving on.
Yes. A full module is dedicated to AI agents and tool use, covering function calling, agent architecture, multi-step task automation, and multi-agent systems, including the specific risks of running autonomous agents.
The course is taught entirely in English.
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