AI Development Course
Gain mastery in AI development through designing, building, and deploying a secure reply-suggestion API. Acquire skills in data preparation, model selection, system architecture, testing, and DevOps practices to deliver reliable, production-ready AI features for real-world technology products. This course equips you to create practical, safe, and maintainable AI solutions efficiently.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This AI Development Course teaches you to define real-world reply-suggestion APIs, convert requirements into clear specs, and build secure, reliable endpoints. You'll handle data sourcing, preprocessing, and labelling, evaluate modelling choices, and assess outcomes. Master deployment strategies, observability tools, testing methods, feedback mechanisms, and iteration processes to rapidly deliver practical, secure, and sustainable AI features.
Elevify advantages
Develop skills
- Define secure, high-impact AI product scopes for reply-suggestion features swiftly.
- Prepare data for LLMs by sourcing, cleaning, labelling, and anonymising real-world text efficiently.
- Integrate models by designing APIs, request flows, and safety filters for LLM services.
- Establish MLOps basics: containerise, deploy, monitor, and rollback AI features securely.
- Implement AI quality loops: test, run A/B experiments, and iterate on production model performance.
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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