Professional skills

Generative AI and Prompt Engineering

Build practical skills in generative models capabilities and limits and prompt patterns and structured outputs.

View training options Download curriculum ↓

THE BIG PICTURE

About this course

Generative AI and Prompt Engineering develops your understanding of generative models capabilities and limits. The learning path connects prompt patterns and structured outputs with retrieval grounding and evaluation, then brings these ideas together through privacy safety and workflow integration. Use the course outline to discuss the scope that fits your role, current experience, and team objectives. A suitable training plan should connect each concept to a relevant work scenario, give you opportunities to explain decisions, and make time for questions and feedback. For certification-related topics, this listing describes training or study support, not an official credential or a claim of authorized training-partner status. Check the current awarding-body requirements and exam version with your advisor. Contact MindClick for the delivery format, teaching language, instructor profile, duration, dates, and a written fee proposal. These details are confirmed for your individual or team inquiry rather than assumed from another provider’s program.

What you’ll learn

Explain generative models capabilities and limits in a practical work context.
Make informed choices about prompt patterns and structured outputs.
Recognize common pitfalls in retrieval grounding and evaluation.
Connect privacy safety and workflow integration to a practical action plan.

A CLEAR PATH FORWARD

Recommended learning plan

4-day learning plan

Learn through a practical data or AI use case, with focused discussions, practical exercises and work you can take away.

Learning route: 4 recommended days
Practical work: 4 guided activities
Finish with: A practical review

Take a look at each day. Open a section to see the topics and practical work.

Day 1Generative models capabilities and limits

What we’ll cover

Generative models capabilities
Limits

Put it into practice

Work through a sample dataset or model, challenge its assumptions and explain what the results do and do not show.

You’ll take away
An analysis with assumptions and quality checks

Day 2Prompt patterns and structured outputs

What we’ll cover

Prompt patterns
Structured outputs

Put it into practice

Use a practical data or AI use case to work through the options, explain your reasoning and compare approaches with the group.

You’ll take away
A practical worksheet and next-step checklist

Day 3Retrieval grounding and evaluation

What we’ll cover

Retrieval grounding
Evaluation

Put it into practice

Compare two financial scenarios and trace the calculation back to its assumptions and source inputs.

You’ll take away
A checked calculation and decision summary

Day 4Privacy safety and workflow integration

What we’ll cover

Privacy safety
Workflow integration

Put it into practice

Review a realistic dilemma and identify what can be used, what needs permission and where human review is essential.

You’ll take away
A decision log with clear safeguards

Bring it all together

Present the result alongside your evaluation, limitations and next steps.

Prerequisites

Bring a laptop. Coding-focused courses use Python; business-focused courses work with examples and decision tools.

Who is this course for?

Professionals and teams evaluating this subject for their work.

The course outline covers generative models capabilities and limits, prompt patterns and structured outputs, retrieval grounding and evaluation, privacy safety and workflow integration. Discuss the depth and emphasis you need with a MindClick advisor.

Can I request this training from the UAE or Saudi Arabia?

Yes. MindClick accepts training inquiries from individuals and teams in the UAE and Saudi Arabia. Confirm online or in-person delivery, the venue if applicable, teaching language, and dates before booking. UAE uses UTC+4; Saudi Arabia uses UTC+3.

Does this listing include an official qualification or exam voucher?

This is a training or study-support listing, not an official qualification award. Certification names identify the subject of preparation, not a partner endorsement. Confirm current eligibility, authorized delivery arrangements where required, and exam-voucher inclusion separately.

What are the fees and duration?

Contact MindClick for a written proposal based on your learning needs and delivery format. Confirm the training fee, applicable taxes, duration, materials, exam fees if relevant, and any additional charges before enrolling.

How do I choose the right starting point?

Share your current role, experience, goals, and preferred learning format. Ask about prerequisites and the current curriculum before booking. Training does not guarantee an exam pass, certification, or employment.

Neural networks and deep learning

60 hoursAdvanced

$1,799 USDView course