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

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills to create and assess effective AI support assistants fully. Master NLP basics, tokenization, embeddings, semantic similarity, then use dense, lexical, hybrid retrieval for precise QA. Develop prototypes, apply RAG and generation methods, set intents and metrics, and plan enhancements with strong evaluation and monitoring.
Elevify advantages
Develop skills
- Design AI support prototypes: create simple, complete assistant systems quickly.
- Engineer datasets: develop QA pairs, paraphrases, and test scenarios 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 secure AI.
Suggested summary
Before starting, you can change the chapters and 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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