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 enhance customer support and streamline internal operations in technology settings. Focus on reliable, high-performing solutions for real-world use.

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 from start to finish. Master NLP basics, tokenization, embeddings, and semantic similarity. Implement dense, lexical, and hybrid retrieval for precise QA. Develop prototypes, apply RAG and generation methods, set intents and metrics, and build an improvement plan with strong evaluation and monitoring.
Elevify advantages
Develop skills
- Design AI support prototypes: quickly build simple end-to-end assistant systems.
- Engineer datasets: create QA pairs, paraphrases, and test cases for AI support.
- Implement smart retrieval: integrate lexical, dense, and hybrid search for QA.
- Apply RAG and LLM prompts: produce reliable, accurate 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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