Professional skills

TensorFlow and Keras Deep Learning

Build practical skills in tensors model construction and training and neural network architectures and regularization.

View training options Download curriculum ↓

THE BIG PICTURE

About this course

TensorFlow and Keras Deep Learning develops your understanding of tensors model construction and training. The learning path connects neural network architectures and regularization with data pipelines evaluation and tuning, then brings these ideas together through model export inference and operational concerns. 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 tensors model construction and training in a practical work context.
Make informed choices about neural network architectures and regularization.
Recognize common pitfalls in data pipelines evaluation and tuning.
Connect model export inference and operational concerns 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 1Tensors model construction and training

What we’ll cover

Tensors model construction
Training

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 2Neural network architectures and regularization

What we’ll cover

Neural network architectures
Regularization

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 3Data pipelines evaluation and tuning

What we’ll cover

Data pipelines evaluation
Tuning

Put it into practice

Map the workflow, implement or sketch an automation step and plan how to recover when it fails.

You’ll take away
A workflow and recovery checklist

Day 4Model export inference and operational concerns

What we’ll cover

Model export inference
Operational concerns

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

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.

The course outline covers tensors model construction and training, neural network architectures and regularization, data pipelines evaluation and tuning, model export inference and operational concerns. 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