Prompt Engineering Mastery: From Complete Novice to AI Power User
From first prompt to AI power user
A complete, structured prompt engineering curriculum that takes learners from their very first AI prompt through advanced frameworks, production-grade and multimodal prompting, and the leadership skills required to govern AI adoption across a team or organisation.
NOVICE → PRACTITIONER → LEADER
What this course unlocks
Learners progress through a carefully sequenced journey:
- Foundations: core prompting patterns, safety, and good habits for everyday use.
- Frameworks: structured approaches for reasoning, constraints, and reusable templates.
- Production: context windows, token economics, evaluation, and prompt libraries.
- Multimodal & agents: prompting across text, image, audio, docs, and tool-using workflows.
- Leadership: strategy, risk management, and team skill development for responsible AI adoption.
PEDAGOGY & LINEAGE
Foundational content is inspired by:
Mindstream × HubSpot — the “Advanced ChatGPT Prompt Engineering” playbook, bringing practical, marketing and productivity-focused patterns into a STEM and enterprise context.
Andrew Ng · DeepLearning.AI — the “AI Prompt Engineering” course, grounding learners in clear mental models and best practices for working with modern AI systems.
This is supplemented with current guidance from OpenAI and Anthropic official documentation, ensuring the curriculum reflects up-to-date capabilities, limitations, and responsible-use recommendations.
The result is a Black Scientists & Inventors–aligned pathway that blends world-class prompt engineering practice with the realities of building safe, impactful AI-powered experiences for learners, educators, and organisations.
Learning Objectives
By the end of this course, learners move from curious novice to confident AI power user—able to design, govern, and continuously improve production-grade prompts and workflows across the Black Scientists & Inventors ecosystem.
CORE SKILL
Write clear, structured prompts
Use role, context, task, and format to design prompts that are unambiguous, reproducible, and aligned with real-world STEM and enterprise scenarios.
Prompt structure Clarity Role & context
ANALYTICAL DEPTH
Apply chain-of-thought & REASON
Guide models through complex analytical tasks using explicit chain-of-thought prompting and the REASON framework to surface assumptions, alternatives, and evidence.
Reasoning Complex tasks Frameworks
PRECISION
Design precise constraint blocks
Build constraint blocks that lock in format, content, style, methodology, and perspective, reducing drift and ensuring outputs meet compliance, curriculum, and brand standards.
Constraints Governance Quality control
REUSABILITY
Build modular prompt templates
Use the MODULE and TEMPLATE frameworks to create reusable prompt components that can be mixed, matched, and versioned across courses, tools, and teams.
Templates Modularity Scalability
PRODUCTION USE
Manage context windows & parameters
Understand context windows, token economics, and key model parameters to design prompts that are efficient, robust, and ready for production deployment.
Tokens Model settings Cost awareness
MULTIMODAL
Prompt across text, image, audio & docs
Design prompts that work seamlessly across text, images, audio, and document inputs, enabling rich, multimodal learning and research experiences.
Text Images Audio & documents
AGENTIC AI
Direct tool-using AI workflows
Orchestrate agentic AI systems that call tools, APIs, and data sources—paired with appropriate testing, validation, and guardrails.
Agents Tools & APIs Validation
ENTERPRISE
Build a shared prompt library
Design and govern a version-controlled enterprise prompt library that captures best practices, supports collaboration, and aligns with organisational policy.
Version control Collaboration Knowledge base
CONTINUOUS IMPROVEMENT
Design evaluation & improvement loops
Create an evaluation framework and continuous-improvement process for production prompts, using metrics, feedback, and experiments to refine performance over time.
Evaluation Metrics Iteration
LEADERSHIP
Lead AI adoption & risk management
Shape AI adoption strategy, manage risk, and develop team skills so that prompt engineering becomes a sustainable, ethical, and empowering capability across the organisation.
CAPSTONE
Apply everything in one real, AI-powered project
In Module 6, learners bring together every skill from Modules 1–5 into a single practical portfolio — designing prompts to produce a business plan, brand assets, marketing materials, a website, a contract, and a budgeting tool — then submit it through the platform's AI-assisted marking pipeline for scored, human-reviewed feedback.
Strategy Risk Team development
These objectives anchor every module, exercise, and assessment in the Prompt Engineering Mastery pathway — culminating in a hands-on capstone project — ensuring learners can apply their skills directly to their jobs, businesses, hobbies, products, civic groups, families and communities.
Prerequisites
This course is designed to be accessible to learners at all levels — from complete beginners to emerging AI leaders. Each module builds on the last, with clear expectations and supportive scaffolding.
FOUNDATION
Basic computer literacy
Learners should be comfortable using a web browser and interacting with a chat-based AI tool such as ChatGPT or Claude. No technical background required.
BEGINNER FRIENDLY
No programming required
Modules 1–3 require no prior programming or AI experience. They introduce prompting fundamentals, reasoning patterns, and structured frameworks.
TECHNICAL AWARENESS
Helpful familiarity for Module 4
Module 4 benefits from basic comfort with files, documents, and simple technical concepts — but still requires no coding. It focuses on production prompting and multimodal systems.
LEADERSHIP TRACK
Ideal for team leads & managers
Module 5 is designed for team leads, managers, or aspiring AI enablement leads who want to guide responsible AI adoption, governance, and capability-building across their organisation.
CAPSTONE ASSESSMENT
Module 6 requires Modules 1–5 to be completed
The capstone assignment assumes learners have finished Modules 1 through 5. No new tools, software, or technical skills are required — success depends entirely on applying the prompting techniques already learned to a practical business scenario of the learner's choosing.
Course Content
Module 1: Foundations of Prompt Engineering (Novice)
Foundations of Prompt Engineering
What Is Prompt Engineering and Why It Matters
The Prompt Engineering Mindset
Anatomy of a Great Prompt: Role, Context, Task, Format
What Is Prompt Engineering and Why It Matters - Knowledge Check
The Prompt Engineering Mindset - Knowledge Check
Anatomy of a Great Prompt: Role, Context, Task, Format - Knowledge Check
Module 2: Core Prompting Techniques (Beginner)
Core Prompting Techniques
Giving Clear Instructions and Rich Context
Controlling Output with Examples and Formatting
Iterative Prompting: Refining Your Way to a Great Result
Giving Clear Instructions and Rich Context - Knowledge Check
Controlling Output with Examples and Formatting - Knowledge Check
Iterative Prompting: Refining Your Way to a Great Result - Knowledge Check
Module 3: Advanced Prompting Frameworks (Intermediate)
Advanced Prompting Frameworks
Chain-of-Thought and the REASON Framework
Constraint Design: Format, Content, Style, Methodology, and Perspective
Modular Prompt Architecture: The MODULE and TEMPLATE Frameworks
Chain-of-Thought and the REASON Framework - Knowledge Check
Constraint Design: Format, Content, Style, Methodology, and Perspective - Knowledge Check
Modular Prompt Architecture: The MODULE and TEMPLATE Frameworks - Knowledge Check
Module 4: Prompt Engineering for Production and Multimodal Systems (Advanced)
Prompt Engineering for Production and Multimodal Systems
Context Window Management and Token Economics
Multimodal Prompting: Images, Audio, and Documents
Prompting for Agents, Tools, and Code Generation
Context Window Management and Token Economics - Knowledge Check
Multimodal Prompting: Images, Audio, and Documents - Knowledge Check
Prompting for Agents, Tools, and Code Generation - Knowledge Check
Module 5: Leading AI Engineering Teams and Enterprise Strategy (Lead / Expert)
Leading AI Engineering Teams and Enterprise Strategy
Building and Governing an Enterprise Prompt Library
Evaluating, Testing, and Continuously Improving Prompts
Leading AI Adoption: Strategy, Risk, and Team Development
Building and Governing an Enterprise Prompt Library - Knowledge Check
Evaluating, Testing, and Continuously Improving Prompts - Knowledge Check
Leading AI Adoption: Strategy, Risk, and Team Development - Knowledge Check
Module 6: Capstone Assignment — Applying Everything You Have Learned
Capstone Project: Build an AI-Powered Business Toolkit
Premium Content Preview
This course includes:
- 15 interactive quizzes
- 21 comprehensive lessons
- Multiple lesson formats (videos, readings, activities)
- Progress tracking and certificates
Enroll now to access all content!
Course Information
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