Generative AI in Communication

Modules

Unit 1: Introduction to Generative AI

Upon successful completion of this module, you will:

• Understand what Generative AI is.
• Trace the history and evolution of Generative AI, including key concepts like GANs, VAEs, and Transformers.
• Differentiate between Generative and Discriminative AI models.
• Identify real-world applications and industries currently leveraging Generative AI.

Unit 2: Introduction to Prompt Engineering

Upon successful completion of this module, you will:

• Understand what prompt engineering is and why it matters in the age of AI
• Explore a brief history of prompting, from simple templates to advanced chain-of-thought techniques
• Recognise the applicability of prompting across diverse domains: writing, coding, business, and learning
• Gain an overview of prompt behaviour in various LLMs (e.g., GPT, Claude, Gemini)

Unit 3: Prompt Structures & Types

Upon successful completion of this module, you will:

• Differentiate between key types of prompting: Zero-shot, Few-shot, Chain-of-thought, and Self-reflection (ReAct, CoT + memory)
• Master various prompt formats, including instructions, constraints, roles, and examples

Unit 4: Prompting for Text Generation

Upon successful completion of this module, you will:

• Learn to generate diverse content: essays, blogs, poetry, and social media posts
• Master prompting for specific tone, voice, length, and structural requirements
• Understand the distinction between narrative and informational prompts
• Discover techniques for fine-tuning outputs through prompt iteration

Unit 5: Prompting for Critical Thinking & Analysis

Upon successful completion of this module, you will:

• Utilise LLMs for synthesis, comparison, critique, and ideation
• Employ effective prompt patterns like “What are the pros and cons...” and “Summarise then argue...”
• Learn strategies for avoiding hallucinations and misrepresentation in AI outputs

Unit 6: Prompting for Coding & Data Tasks

Upon successful completion of this module, you will:

• Master prompting for code generation, debugging, and documentation
• Apply prompting techniques to various use cases: Python, HTML, SQL, and Excel formulas
• Understand multi-step prompts and input/output formatting for technical tasks
• Learn to effectively use code interpreter tools (e.g., ChatGPT’s Python tool)

Unit 7: Advanced Prompting Techniques

Upon successful completion of this module, you will:

• Explore meta-prompting (e.g., “create a prompt that…”)
• Understand how to embed memory and tool use within prompts
• Grasp concepts of prompt chaining and agents (e.g., LangChain, AutoGPT)
• Implement role-based prompting and multi-turn interaction for complex tasks

Unit 8: Evaluation and Optimisation

Upon successful completion of this module, you will:

• Define metrics for evaluating good prompts (accuracy, relevance, completeness, tone)
• Learn to use scoring rubrics and A/B testing for prompt optimisation
• Identify common prompt failure patterns and discover how to effectively fix them

Unit 9: Ethics & Responsible Use

Upon successful completion of this module, you will:

• Understand the risks of misuse and manipulation in prompt engineering
• Address crucial considerations of bias, safety, and transparency in AI interactions
• Learn about disclosure and copyright implications of AI-generated content
• Implement prompting strategies to reduce bias and fact-check AI outputs

Entry Requirements

This AI engineering course is open to anyone with a basic understanding of computer literacy and a desire to enhance their interaction with Generative AI. While prior experience with AI is not required, a keen interest in language models and their applications will be beneficial. AI courses like this one are designed to build your practical skills from the ground up.

Average completion timeframe

Designed for maximum flexibility, learners typically complete this comprehensive course within a matter of weeks, depending on their study pace.

Assessment requirements

After each lesson there will be a question paper, which needs to be completed and submitted for marking. This method of continual assessment ensures that we can consistently monitor your progress and can provide you with assistance throughout the duration of the course. You will receive a digital certificate (e-cert) issued by TQUK upon successful completion of the course.

Course fees

All course fees, inclusive of all payment plans including our Premium Credit Limited option, must be settled before certification can be ordered.

*You will have access to the course for 24 months.

Qualifications

learndirect

Once a learner has passed the assessment at the end of the course, they will be able to download a learndirect certificate to confirm their progress.

Established in 2000, learndirect is a leading UK-based training provider, offering a diverse portfolio of nationally recognised qualifications. With a strong focus on flexible learning and a commitment to delivering excellence, a certificate from learndirect empowers learners to achieve their career goals.

Mastering prompt engineering is a critical skill for numerous roles across diverse industries. This course will significantly enhance your capabilities for:

• Content Creators & Marketers: Generate highly targeted and engaging content with precision.
• Developers & Programmers: Streamline code generation, debugging, and documentation.
• Analysts & Researchers: Expedite data synthesis, comparison, and critical ideation.
• Educators & Trainers: Create tailored learning materials and interactive experiences.
• Business Professionals: Optimise communication, report generation, and strategic analysis.

This AI engineering course is your pathway to becoming an expert in harnessing the power of Generative AI, making you a more efficient, innovative, and valuable professional.

Frequently Asked Questions