AI Course
Create practical AI support assistants from the ground up. Gain skills in NLP fundamentals, advanced search and retrieval techniques, RAG implementation, thorough evaluation, and continuous improvement to build and deploy dependable AI tools that enhance customer support and streamline internal processes in technology settings.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches designing and evaluating effective AI support assistants end-to-end. Cover NLP basics like tokenization, embeddings, and semantic similarity. Master dense, lexical, and hybrid retrieval for precise QA. Build prototypes using RAG and generation methods, define intents and metrics, and develop roadmaps with strong evaluation and monitoring.
Elevify advantages
Develop skills
- Design AI support prototypes: quickly create minimal viable end-to-end assistant workflows.
- Engineer datasets: develop QA pairs, paraphrases, and test cases tailored for support AI.
- Implement smart retrieval: integrate lexical, dense, and hybrid search methods for QA.
- Apply RAG and LLM prompts: produce reliable, context-based support responses.
- Evaluate and iterate: monitor metrics, minimize 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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