Generative & Agentic AI
Prompt Engineering Mastery
A systematic method for getting reliable, high-quality results from AI models.
- Duration
- 6 weeks
- Format
- Online Self-Paced
- Level
- All Levels
- Credential
- Short Course
Program overview
Prompting is not guesswork — it is a design discipline. This short course teaches a systematic methodology: task decomposition, context design, structured outputs, evaluation, and iteration. You will build a personal prompt library and learn to make AI output dependable enough for professional work.
What you'll be able to do
- Apply a repeatable framework for designing effective prompts
- Use role, context, examples, and constraints deliberately
- Produce structured, machine-readable outputs reliably
- Evaluate and iterate on prompts with simple test sets
- Build reusable prompt systems for your daily work
Tools & technologies
- ChatGPT
- Claude
- Gemini
- OpenAI Playground
- Prompt versioning templates
Curriculum
4 modules · 6 weeks · every module ends with reviewed applied work.
How Models Read Prompts
- Tokens, context, and attention intuitions
- Why prompts fail
- The anatomy of a strong prompt
Core Techniques
- Role and context design
- Few-shot examples
- Step-by-step reasoning
- Constraints and output formats
Professional Workflows
- Prompts for writing, analysis, and code
- Prompt chaining
- Building a personal prompt library
Evaluation & Reliability
- Testing prompts systematically
- Handling edge cases
- Capstone: a prompt system for your role
Projects & capstone
You graduate with evidence, not just knowledge. Key projects include:
A tested, documented prompt library for your professional domain
A multi-step prompt chain that automates a real task
Who this program is for
- Knowledge workers using AI daily
- Writers, analysts, marketers, and consultants
- Developers wanting stronger prompting fundamentals
Eligibility
Open to everyone. No technical background required.
Your instructors
Sofia Marchetti
Head of Generative & Agentic AI Programs
Sofia has been building LLM-powered products since the earliest GPT-3 APIs, including retrieval systems and multi-agent workflows for enterprise clients. She designs curriculum that keeps pace with a field that changes monthly — grounded in patterns that do not.
Career opportunities
Roles this program prepares you to pursue:
- AI-augmented roles across every function
- Foundation for GenAI engineering paths
Earn a verifiable certificate
Complete all required project work to earn the Pioneer Academy Prompt Engineering Mastery certificate — digitally issued with a unique verification link for your CV and LinkedIn.
Program FAQs
Is prompt engineering still worth learning?
Yes — as models improve, the skill shifts from tricks to specification: clearly defining tasks, context, and quality bars. That skill compounds and transfers to every AI tool.
Take the next step
Start your GenAI & Agents journey
The next Prompt Engineering Mastery cohort is enrolling now. Applications take under ten minutes, and seats are confirmed in order of application.