AI Course
Construct practical AI support assistants from the ground up. Cover NLP fundamentals, search and retrieval techniques, RAG, evaluation, and iteration to build, test, and launch dependable AI tools that boost customer support and streamline internal processes in technology settings. Develop reliable prototypes with smart retrieval, grounded generation, and thorough metrics to ensure safe deployment.

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 lexical, dense, hybrid retrieval for precise QA. Develop prototypes, apply RAG and generation methods, set intents and metrics, and plan improvements 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 cases for support AI.
- Implement smart retrieval: merge lexical, dense, and hybrid search for QA.
- Apply RAG and LLM prompts: produce reliable, accurate support responses.
- Evaluate and iterate: monitor metrics, cut 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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