AI Course
Construct practical AI support assistants from the ground up. Delve into NLP fundamentals, search and retrieval techniques, RAG implementation, evaluation processes, and iteration strategies to design, prototype, and launch dependable AI tools that boost customer support and streamline internal operations in tech settings.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master building and assessing top-notch AI support assistants from start to finish. Gain NLP basics like tokenization, embeddings, and semantic similarity. Implement dense, lexical, and hybrid retrieval for precise QA. Develop prototypes using RAG and generation methods, set intents and metrics, and craft a roadmap with solid evaluation and monitoring.
Elevify advantages
Develop skills
- Design AI support prototypes: quickly create minimal end-to-end assistant workflows.
- Engineer datasets: develop QA pairs, paraphrases, and test cases for support AI.
- Implement smart retrieval: integrate lexical, dense, and hybrid search for QA.
- Apply RAG and LLM prompts: produce reliable, grounded support responses.
- Evaluate and iterate: monitor metrics, minimise hallucinations, and deploy safe 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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