AI & Machine Learning
Generative AI & Prompt Engineering
Use ChatGPT, Gemini and Claude effectively and automate everyday work with AI.
Overview
A practical introduction to generative AI. You learn how large language models work, how to write prompts that give reliable results, and how to use AI assistants to speed up real business and technical work.
Course objectives
- Explain how generative AI and LLMs work
- Use ChatGPT, Gemini and Claude for real tasks
- Write structured, reliable prompts
- Apply AI to business and technical work
- Automate a workflow with AI
Who it's for
- Professionals who want to use AI tools confidently at work
- Students and career changers starting with AI
- IT staff exploring AI-assisted workflows
Prerequisites
- Comfortable using a computer and web browser
- No programming experience needed
Syllabus outline
- What generative AI is and how LLMs work
- Strengths, limits and hallucinations
- Choosing the right tool
Lab and practice approach
Every session includes guided exercises on real tasks. You build a personal prompt library and finish with a small automation capstone.
Why attend this course?
- AI skills are now expected in almost every role
- Gives you a strong base for every other AI course
- Immediately useful in your current job
After completing this course
Roles you can aim for
- AI-enabled professional
- Prompt engineer (entry level)
- AI productivity specialist
What you will be able to do
- Advanced prompt engineering
- Choosing and comparing AI assistants
- No-code AI automation
Assessments and capstone project
No vendor exam is required. You are assessed through assignments, quizzes and knowledge checks, technical assessments and a final capstone project.
- Assessment
- Assignments, quizzes and technical assessments
- Final project
- Capstone project reviewed by your instructor
- Vendor exam
- Not required
Why learn with OpenSprig
- Live, instructor-led online sessions you can ask questions in
- Practice on real systems in every class
- Exam-objective-aligned syllabus with mock tests
- Course community group for help between classes
- Weekend-friendly 2–3 hour classes
Keep growing
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