Professional skills
Transformers and Large Language Models in Baku
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Build practical skills in tokens attention and transformer architecture and using pre-trained language models.
THE BIG PICTURE
About this course
Transformers and Large Language Models develops your understanding of tokens attention and transformer architecture. The learning path connects using pre-trained language models with retrieval grounding and evaluation, then brings these ideas together through inference privacy and deployment constraints. 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 tokens attention and transformer architecture in a practical work context.
- Make informed choices about using pre-trained language models.
- Recognize common pitfalls in retrieval grounding and evaluation.
- Connect inference privacy and deployment constraints 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 1Tokens attention and transformer architectureExplore the essentials and put them to work.
What we’ll cover
- Tokens attention
- Transformer architecture
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 2Using pre-trained language modelsConnect the ideas, practise the decisions and build on your earlier work.
What we’ll cover
- Using pre-trained language models
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 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 4Inference privacy and deployment constraintsConnect the ideas, practise the decisions and build on your earlier work.
What we’ll cover
- Inference privacy
- Deployment constraints
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 ≈ €2,485 |
Not included |
| Classroom | $4,500 USD ≈ €3,995 |
Not included |
Local amounts are indicative only, converted at the rate captured on 2026-10-02. You are charged in USD and your bank sets the final rate.
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.
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
- Baku, Azerbaijan
- Local timezone
- Asia/Baku
Joining details and full session timetable to be supplied.
Starts
- Training location
- Baku, Azerbaijan
- Local timezone
- Asia/Baku
Joining details and full session timetable to be supplied.
Frequently asked questions
What does Transformers and Large Language Models cover?
The course outline covers tokens attention and transformer architecture, using pre-trained language models, retrieval grounding and evaluation, inference privacy and deployment constraints. 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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