AI Course
Construct practical AI support assistants from the ground up. Gain expertise in NLP fundamentals, search and retrieval techniques, RAG implementation, evaluation processes, and iterative refinement to create, prototype, and launch dependable AI tools that enhance customer support and streamline internal operations in technology settings.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches designing and assessing effective AI support assistants comprehensively. Master NLP basics, tokenization, embeddings, semantic similarity, then deploy lexical, dense, hybrid retrieval for precise QA. Develop prototypes, leverage RAG and generation methods, establish intents and metrics, and outline enhancement plans with solid evaluation and oversight.
Elevify advantages
Develop skills
- Design AI support prototypes: rapidly construct minimal end-to-end assistant workflows.
- 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, 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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