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.

All Ages
7:30:00
1006 students
BSI Prompt Engineering Faculty
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
Video 0:11:45
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What Is Prompt Engineering and Why It Matters
Reading 0:30:00 Free Preview
The Prompt Engineering Mindset
Reading 0:30:00
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Anatomy of a Great Prompt: Role, Context, Task, Format
Reading 0:30:00
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What Is Prompt Engineering and Why It Matters - Knowledge Check
Quiz 10 questions Pass: 70%
The Prompt Engineering Mindset - Knowledge Check
Quiz 10 questions Pass: 70%
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Anatomy of a Great Prompt: Role, Context, Task, Format - Knowledge Check
Quiz 10 questions Pass: 70%
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Module 2: Core Prompting Techniques (Beginner)
Core Prompting Techniques
Video 0:11:55
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Giving Clear Instructions and Rich Context
Reading 0:30:00
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Controlling Output with Examples and Formatting
Reading 0:30:00
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Iterative Prompting: Refining Your Way to a Great Result
Reading 0:30:00
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Giving Clear Instructions and Rich Context - Knowledge Check
Quiz 10 questions Pass: 70%
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Controlling Output with Examples and Formatting - Knowledge Check
Quiz 10 questions Pass: 70%
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Iterative Prompting: Refining Your Way to a Great Result - Knowledge Check
Quiz 10 questions Pass: 70%
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Module 3: Advanced Prompting Frameworks (Intermediate)
Advanced Prompting Frameworks
Video 0:18:50
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Chain-of-Thought and the REASON Framework
Reading 0:30:00
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Constraint Design: Format, Content, Style, Methodology, and Perspective
Reading 0:30:00
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Modular Prompt Architecture: The MODULE and TEMPLATE Frameworks
Reading 0:30:00
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Chain-of-Thought and the REASON Framework - Knowledge Check
Quiz 10 questions Pass: 70%
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Constraint Design: Format, Content, Style, Methodology, and Perspective - Knowledge Check
Quiz 10 questions Pass: 70%
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Modular Prompt Architecture: The MODULE and TEMPLATE Frameworks - Knowledge Check
Quiz 10 questions Pass: 70%
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Module 4: Prompt Engineering for Production and Multimodal Systems (Advanced)
Prompt Engineering for Production and Multimodal Systems
Video 0:09:20
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Context Window Management and Token Economics
Reading 0:30:00
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Multimodal Prompting: Images, Audio, and Documents
Reading 0:30:00
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Prompting for Agents, Tools, and Code Generation
Reading 0:30:00
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Context Window Management and Token Economics - Knowledge Check
Quiz 10 questions Pass: 70%
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Multimodal Prompting: Images, Audio, and Documents - Knowledge Check
Quiz 10 questions Pass: 70%
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Prompting for Agents, Tools, and Code Generation - Knowledge Check
Quiz 10 questions Pass: 70%
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Module 5: Leading AI Engineering Teams and Enterprise Strategy (Lead / Expert)
Leading AI Engineering Teams and Enterprise Strategy
Video 0:08:20
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Building and Governing an Enterprise Prompt Library
Reading 0:30:00
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Evaluating, Testing, and Continuously Improving Prompts
Reading 0:30:00
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Leading AI Adoption: Strategy, Risk, and Team Development
Reading 0:30:00
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Building and Governing an Enterprise Prompt Library - Knowledge Check
Quiz 10 questions Pass: 70%
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Evaluating, Testing, and Continuously Improving Prompts - Knowledge Check
Quiz 10 questions Pass: 70%
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Leading AI Adoption: Strategy, Risk, and Team Development - Knowledge Check
Quiz 10 questions Pass: 70%
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Module 6: Capstone Assignment — Applying Everything You Have Learned
Capstone Project: Build an AI-Powered Business Toolkit
Assignment 0:30:00
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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
Level: All Ages
Duration: 7:30:00
Students: 1006
Modules: 6
Lessons: 21
Quizzes: 15

£29.97/month
or £249.97/year
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