arrow_back All courses
smart_toy
Technology & Security
Prompt Engineering / AI Operations
A modern course on designing effective prompts and operationalizing AI systems, equipping learners to build reliable, production-ready AI-assisted workflows and applications.
Enroll in this course arrow_forwardWhat you'll learn
Curriculum modules covered across the program.
- check_circleFoundations of large language models and how they process prompts
- check_circlePrompt design principles: clarity, context, examples, and constraints
- check_circlePrompt patterns: few-shot, chain-of-thought, role-based prompting
- check_circleWorking with AI APIs (structure, parameters, tool/function calling)
- check_circleRetrieval-Augmented Generation (RAG) concepts and use cases
- check_circleEvaluating and testing prompt performance and output quality
- check_circleAI Ops: deploying, monitoring, and maintaining AI-powered applications
- check_circleHandling hallucination, bias, and responsible AI use
- check_circleCost, latency, and performance optimization for AI systems
- check_circleIntegrating AI into business workflows and internal tools
- check_circleCapstone: designing and deploying an AI-powered workflow or assistant
Skills & knowledge acquired
What you'll be able to do by the end of this course.
- workspace_premium Ability to craft precise, effective prompts for varied tasks
- workspace_premium Practical experience with AI APIs and tool integration
- workspace_premium Understanding of RAG and how to ground AI outputs in real data
- workspace_premium Skill in evaluating and improving AI system outputs
- workspace_premium Awareness of responsible and ethical AI deployment practices
Ready to start Prompt Engineering / AI?
Submit your details — no payment, no long forms. We'll call you to confirm your track.