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Master Deep Learning with TensorFlow

Learn to design, train and deploy neural networks with TensorFlow and Keras — from dense networks to CNNs and sequence models — with practical tuning and debugging skills.

Fee$800
Duration8 Weeks (60 hrs)
LevelAdvanced
ModeOnline
View Curriculum
Industry Certificate English

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Program Overview

Deep Learning with TensorFlow

Deep Learning with TensorFlow is an advanced-level live online course running 8 weeks (60 hrs), priced at $800 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.

Learn to design, train and deploy neural networks with TensorFlow and Keras — from dense networks to CNNs and sequence models — with practical tuning and debugging skills. What you will build: an image-classification CNN, a text classifier and a transfer-learning project. Tools and technologies: Python, TensorFlow, Keras 3, TensorBoard, PyTorch (comparison), NumPy, Google Colab (GPU). Format: 60 hours of live, instructor-led online training over about 8 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Deep Learning Engineer (junior), ML Engineer, AI Developer. Resume review and interview guidance are available to all learners.

MentorshipLearn from experts
Hands-onBuild real projects
Career ReadyJob-aligned skills

Course Highlights

  • 60 hours of live instructor-led training
  • Hands-on projects and real-world labs
  • Tools: Python, TensorFlow, Keras 3
  • Certificate of completion
  • Career guidance for US & Canada job market
  • Recorded sessions and mentor support

Minimum Requirements

  • Python and basic machine learning concepts
  • Laptop or desktop with stable internet

Who is this for ?

  • ML practitioners moving into deep learning
  • Developers building AI features
  • Researchers needing practical TensorFlow skills

Curriculum

Course Curriculum

6 modules · 23 topics0 hours total

  • 1
    Perceptrons
  • 2
    activation functions
  • 3
    backpropagation
  • 4
    Keras Sequential and Functional APIs

Industry-Recognized
Certification

Upon successful completion, you receive a certificate of completion for the Deep Learning with TensorFlow program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.

  • Verifiable ID: Unique credential link for LinkedIn.
  • Skill Validation: Proof of hands-on project completion.
  • Corporate Branding: CO-branded with your company logo.
MITS Edge Certificate of Completion

Student Reviews

Why learn this online

AI and data science are among the fastest-growing, highest-value skill sets in the technology market. Learning them online, through live instructor-led sessions and hands-on projects, lets you build practical experience with Python, statistics, and machine learning while keeping your current job. Because the field rewards demonstrated ability over credentials, a strong project portfolio built during the course is what employers actually respond to.

Who this is for

  • ✓Analytical professionals who enjoy math and code
  • ✓Analysts wanting to move into modeling and AI
  • ✓Career switchers targeting high-ceiling data roles

Career outcomes

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Data Analyst (advanced)

Frequently asked questions

How much does the Deep Learning with TensorFlow course cost?

The Deep Learning with TensorFlow course costs $800 (USD) for 8 Weeks (60 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.

What projects will I build in Deep Learning with TensorFlow?

You will build an image-classification CNN, a text classifier and a transfer-learning project.

Which tools and technologies does Deep Learning with TensorFlow cover?

Deep Learning with TensorFlow covers Python, TensorFlow, Keras 3, TensorBoard, PyTorch (comparison), NumPy, Google Colab (GPU).

Is the Deep Learning with TensorFlow course online or in person?

The Deep Learning with TensorFlow program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.

How long is the Deep Learning with TensorFlow course?

The Deep Learning with TensorFlow program runs for 8 Weeks (60 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.

What level is the Deep Learning with TensorFlow course — is it suitable for beginners?

The Deep Learning with TensorFlow program is pitched at a advanced level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.

Do I get a certificate after completing Deep Learning with TensorFlow?

Yes — you receive a verifiable certificate of completion for the Deep Learning with TensorFlow program, which you can share with employers and add to your LinkedIn profile.

Does the Deep Learning with TensorFlow course include placement or career support?

Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.

Do I need any prior experience to join Deep Learning with TensorFlow?

Recommended prerequisites: Python and basic machine learning concepts; Laptop or desktop with stable internet.

Do I need a math background for AI and data science?

Comfort with basic math helps, but the fundamentals — statistics and the math behind common models — are taught as part of a structured program. What matters most is consistent practice and building real projects.

Is Python required for AI and data science?

Yes, Python is the core language of the field. A good course starts from Python fundamentals and builds up to data libraries and machine learning, so you can start even if you are new to coding.

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