Mastering Effective AI Prompt Engineering

This interactive and hands-on course empowers professionals to harness the full potential of large language models like GPT-4 through expert prompt engineering. Participants will learn to design effective prompts using current reasoning methods, agentic approaches, and ethical guidelines—ensuring impactful and safe AI-assisted work.

By the end of the training, participants will be able to:

• Design task-specific prompts using structured formats.

• Compare and apply advanced prompting strategies such as chain-of-thought, ReAct, and agentic methods.

• Evaluate and refine prompt quality using clear criteria • Apply ethical, policy-aware usage of generative AI in professional settings.

• Hands-on exercises and peer review
Practical workshops creating prompts followed by peer review to improve quality and relevance.

• Prompt evaluation metrics and ethics
Criteria for assessing prompt quality and ethical considerations like bias, transparency, and responsibility.

• Agentic prompting and use of tool-assisted workflows
Using AI as an autonomous agent with tools (browsers, code, APIs) for complex or automated tasks.

• Advanced prompting techniques and reasoning models
Advanced prompt writing techniques using logical, step-by-step, or chain-of-thought reasoning models.

• Prompt structures and prompt types
Analysis of effective prompt structures and different types: instructional, creative, exploratory, etc.

• Generative AI definitions and policies (Green/Amber/Red usage categories)
Introduction to generative AI and usage policies classified by green, amber, and red categories.

• Introduction to AI and machine learning
Overview of AI basics, machine learning, their differences, current uses, and workplace impact.

Short lectures, hands-on prompt writing labs, peer evaluation, scenario-based problem-solving, and group discussion on ethical issues.

Legal professionals, compliance officers, consultants, project managers, communication leads, and other knowledge workers seeking to leverage generative AI responsibly and efficiently in their daily tasks.

The training course concludes with an exam, the successful completion of which is certified by a certificate of achievement issued by the House of Training and co-signed by the training provider. To obtain the certificate, an attendance rate of 80% at the training sessions and an average grade of 60% in the exam are required.

At the end of the training course, participants will be able to download a certificate of attendance issued by the House of Training from the learner portal.