AI Course
Construct practical AI support assistants from the ground up. Cover NLP fundamentals, search and retrieval techniques, RAG, evaluation, and iteration processes to design, prototype, and roll out dependable AI tools that boost customer support and streamline internal operations in tech settings. Perfect for building reliable solutions.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain skills to create and assess effective AI support assistants end-to-end. Master NLP basics like tokenisation, embeddings, and semantic similarity. Implement dense, lexical, and hybrid retrieval for precise QA. Develop prototypes using RAG and generation methods, define intents and metrics, and build a roadmap with solid evaluation and monitoring.
Elevify advantages
Develop skills
- Design AI support prototypes: quickly assemble minimal end-to-end assistant workflows.
- Engineer datasets: develop QA pairs, paraphrases, and test cases for support AI systems.
- Implement smart retrieval: integrate lexical, dense, and hybrid search methods for QA.
- Apply RAG and LLM prompts: produce reliable, context-based support responses.
- Evaluate and iterate: monitor metrics, minimise hallucinations, and deploy secure AI.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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