Master Deep Learning Fundamentals
A framework-agnostic introduction to deep learning: how neural networks learn, why architectures like CNNs and RNNs work, and how to train your first models with Keras.
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Program Overview
Deep Learning Fundamentals is an intermediate-level live online course running 8 weeks (54 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.
A framework-agnostic introduction to deep learning: how neural networks learn, why architectures like CNNs and RNNs work, and how to train your first models with Keras. What you will build: a handwritten-digit recogniser and a simple text classifier. Tools and technologies: Python, Keras, TensorFlow, NumPy, Matplotlib, Google Colab. Format: 54 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: AI Developer (junior), Machine Learning Analyst, Data Scientist. Resume review and interview guidance are available to all learners.
Course Highlights
- 54 hours of live instructor-led training
- Hands-on projects and real-world labs
- Tools: Python, Keras, TensorFlow
- Certificate of completion
- Career guidance for US & Canada job market
- Recorded sessions and mentor support
Minimum Requirements
- Python basics and school-level maths
- Laptop or desktop with stable internet
Who is this for ?
- Learners new to neural networks
- Data analysts exploring deep learning
- Developers curious about modern AI
Curriculum
Course Curriculum
5 modules · 19 topics0 hours total
- 1Neurons and layers
- 2activation functions
- 3forward pass
- 4loss
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Deep Learning Fundamentals 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.
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 Fundamentals course cost?
The Deep Learning Fundamentals course costs $800 (USD) for 8 Weeks (54 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 Fundamentals?
You will build a handwritten-digit recogniser and a simple text classifier.
Which tools and technologies does Deep Learning Fundamentals cover?
Deep Learning Fundamentals covers Python, Keras, TensorFlow, NumPy, Matplotlib, Google Colab.
Is the Deep Learning Fundamentals course online or in person?
The Deep Learning Fundamentals 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 Fundamentals course?
The Deep Learning Fundamentals program runs for 8 Weeks (54 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Deep Learning Fundamentals course — is it suitable for beginners?
The Deep Learning Fundamentals program is pitched at a intermediate level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing Deep Learning Fundamentals?
Yes — you receive a verifiable certificate of completion for the Deep Learning Fundamentals program, which you can share with employers and add to your LinkedIn profile.
Does the Deep Learning Fundamentals 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 Fundamentals?
Recommended prerequisites: Python basics and school-level maths; 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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