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AI+ Prompting Fundamentals™

Name: AI+ Prompting Fundamentals™
Brand: Learning People
Price: 149.00 GBP
Availability: InStock

The AI+ Prompting Fundamentals™ self-paced learning course by AI CERTs® is a flexible certification program designed to equip professionals and aspiring AI specialists with practical skills in prompt engineering, generative AI, and AI tools. Learners develop the ability to design and optimise effective prompts, work with text and image generation models, and apply AI responsibly across a range of industries.

Course Overview

Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials

Hands-on Learning: Offers practical training in designing and optimising prompts

Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors

Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts

Certification overview:

Included Items: Instructor-led OR Self-paced course + Official exam + Digital badge

Certificate Duration:

Instructor-Led: 1 day (live or virtual)
Self-Paced: 8 hours of content

Prerequisites: Understand AI basics, willingness to think creatively to generate ideas and use AI tools effectively.

Exam Format: 50 questions, 70% passing, 90 minutes, online proctored exam

Why this certification matters:

Comprehensive AI Knowledge: Understand AI fundamentals, including machine learning, deep learning, and natural language processing. Advanced Prompt Engineering: Master key principles and advanced techniques to craft effective prompts and troubleshoot issues. Practical AI Tools and Models: Gain hands-on experience with cutting-edge AI tools, text, and image generation models like GPT and DALL-E Ethical AI Practices: Learn about AI ethics, including data security, privacy, and regulatory compliance to ensure responsible AI use.

Who should enrol:

Research Scientists: Advance your research with AI by creating and utilising effective prompts to explore new scientific data and solve complex problems.

Data Scientists & Analysts: Enhance your ability to optimise machine learning models by mastering prompt engineering for better data analysis and insights.

Developers & Programmers: Learn to build, refine, and deploy AI-driven applications by creating efficient prompts for improved AI system performance.

Business Leaders & Strategists: Gain the skills to incorporate AI solutions into business strategies, optimising processes and decision-making.

Machine Learning Engineers: Strengthen your expertise by learning how to fine-tune AI prompts to enhance the performance of machine learning models.

Tools You'll Master

LangChain

OpenAI's GPT

Certification Modules

Course Overview

Course Introduction Preview

Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering

1.1 Introduction to Artificial Intelligence Preview

1.2 History of AI Preview

1.3 Machine Learning Basics Preview

1.4 Deep Learning and Neural Networks

1.5 Natural Language Processing (NLP)

1.6 Prompt Engineering Fundamentals

Module 2: Principles of Effective Prompting

2.1 Introduction to the Principles of Effective PromptingPreview

2.2 Giving DirectionsPreview

2.3 Formatting ResponsesPreview

2.4 Providing Examples

2.5 Evaluating Response Quality

2.6 Dividing Labour

2.7 Applying The Five Principles

2.8 Fixing Failing Prompts

Module 3: Introduction to AI Tools and Models

3.1 Understanding AI Tools and Models Preview

3.2 Deep Dive into ChatGPT Preview

3.3 Exploring GPT Preview

3.4 Revolutionising Art with DALL-E

3.5 Introduction to Emerging Tools using GPT

3.6 Specialised AI Models

3.7 Advanced AI Models

3.8 Google AI Innovations

3.9 Comparative Analysis of AI Tools

3.10 Practical Application Scenarios

3.11 Harnessing AI’s Potential

Module 4: Mastering Prompt Engineering Techniques

4.1 Zero-Shot Prompting

4.2 Few-Shot Prompting

4.3 Chain-of-Thought Prompting

4.4 Ensuring Self-Consistency in AI Responses

4.5 Generate Knowledge Prompting

4.6 Prompt Chaining

4.7 Tree of Thoughts: Exploring Multiple Solutions

4.8 Retrieval Augmented Generation

4.9 Graph Prompting and Advanced Data Interpretation

4.10 Application in Practice: Real-Life Scenarios

4.11 Practical Exercises

Module 5: Mastering Image Model Techniques

5.1 Introduction to Image Models

5.2 Understanding Image Generation

5.3 Style Modifiers and Quality Boosters in Image Generation

5.4 Advanced Prompt Engineering in AI Image Generation

5.5 Prompt Rewriting for Image Models

5.6 Image Modification Techniques: Inpainting and Outpainting

5.7 Realistic Image Generation

5.8 Realistic Models and Consistent Characters

5.9 Practical Application of Image Model Techniques

5.10 Ethical and Legal Dimensions of AI-Generated Images

Module 6: Project-Based Learning Session

6.1 Introduction to Project-Based Learning in AI

6.2 Selecting a Project Theme

6.3 Project Planning and Design in AI

6.4 AI Implementation and Prompt Engineering

6.5 Integrating Text and Image Models

6.6 Evaluation and Integration in AI Projects

6.7 Engaging and Effective Project Presentation

6.8 Guided Project Example

6.9 Sample Projects and Evaluation Framework

Module 7: Ethical Considerations and Future of AI

7.1 Introduction to AI Ethics

7.2 Bias and Fairness in AI Models

7.3 Privacy and Data Security in AI

7.4 The Imperative for Transparency in AI Operations

7.5 Sustainable AI Development: An Imperative for the Future

7.6 Ethical Scenario Analysis in AI: Navigating the Complex Landscape

7.7 Navigating the Complex Landscape of AI Regulations and Governance

7.8 Navigating the Regulatory Landscape: A Guide for AI Practitioners

7.9 Ethical Frameworks and Guidelines in AI Development

7.10 Future of AI Governance and Responsible Innovation

Optional Module: AI Agents for Prompt Engineering

1. What Are AI Agents

2. Applications and Trends of AI Agents for Prompt Engineers

3. How Does an AI Agent Work

4. Core Characteristics of AI Agents

5. Importance of AI Agents

6. Types of AI Agents

Frequently Asked Questions

What core industry problems does the AI+ Prompt Engineer Level 1 Self-Paced Learning V3 training solve?

This course is engineered to help you solve real-world operational inefficiencies by integrating advanced machine learning tools into your daily workflow. You will learn to automate tedious data processing, construct predictive models, and optimize systemic outputs specific to this domain. By learning these practical automation skills, you immediately boost your daily professional output and elevate your long-term career value.

Are the tools and software platforms taught in this course accessible to beginners?

The curriculum is structured logically to support clean career progression, moving from essential concepts to advanced configurations. While technical tracks introduce deeper code integrations, our industry-specific modules utilize user-friendly enterprise interfaces and pre-trained prompt systems. This balanced approach ensures you can comfortably master the curriculum, acquire highly sought-after skills, and earn your digital record badge without frustration.

How will completing this self-paced course help upgrade my professional CV?

Completing this training demonstrates to modern employers that you possess practical, forward-looking expertise in artificial intelligence integration. Your profile will stand out with specialized technical capabilities, showing you can actively deploy automation, reduce operational costs, and manage digital workflows. This enables you to confidently pursue high-tier promotions, transition into modern tech roles, and take your career to the absolute next level.