Professional skills
Generative AI and Prompt Engineering
Build practical skills in generative models capabilities and limits and prompt patterns and structured outputs.
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
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 limitsExplore the essentials and put them to work.
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 outputsConnect the ideas, practise the decisions and build on your earlier work.
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 evaluationConnect the ideas, practise the decisions and build on your earlier work.
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 integrationConnect the ideas, practise the decisions and build on your earlier work.
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.
Fees
| Delivery format | Fee per learner | Exam fee |
|---|---|---|
| Live online | $2,800 USD | Not included |
| Classroom | $4,500 USD | Not included |
Awarding-body exam and certification fees are not included in the training fee. Confirm the current fee, any applicable tax and what the fee covers in writing before you pay.
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.
FIND YOUR START
Confirmed batch starts
Choose a published start, then review your offer in the same enrollment flow. A start date is not the full timetable or a seat reservation.
Choose your country & monthStarts
- Training location
- Dubai, United Arab Emirates
- Local timezone
- Asia/Dubai
Venue and full session timetable to be supplied.
Starts
- Training location
- Vienna, Austria
- Local timezone
- Europe/Vienna
Venue and full session timetable to be supplied.
Starts
- Training location
- Sydney, Australia
- Local timezone
- Australia/Sydney
Venue and full session timetable to be supplied.
Starts
- Training location
- Brussels, Belgium
- Local timezone
- Europe/Brussels
Venue and full session timetable to be supplied.
Starts
- Training location
- Manama, Bahrain
- Local timezone
- Asia/Bahrain
Venue and full session timetable to be supplied.
Starts
- Training location
- São Paulo, Brazil
- Local timezone
- America/Sao_Paulo
Venue and full session timetable to be supplied.
Frequently asked questions
What does Generative AI and Prompt Engineering cover?
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.
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