Certification6 MonthsAdvancedOnline · Mentor-led

6-Month Certification Program in Deep Learning

Hands-on mastery of modern deep learning architectures and tooling.

Program Overview

Built for real-world readiness

Who it's for

Learners comfortable with ML fundamentals who want neural network depth.

What you'll gain

Hands-on mastery of modern deep learning architectures and tooling.

Career relevance

Deep learning powers the most advanced AI products in production today.

Skills You Will Learn

Industry-aligned skill badges

Neural NetworksTensorFlowPyTorchCNNsRNNsTransfer LearningComputer VisionNLP with Deep LearningModel OptimizationGPU-based Training Basics
Curriculum

6 Months structured learning

Module-wise breakdown with practical assignments and a capstone project.

1
Month 1

Foundations & Tooling

Set up your environment and master the essentials: Neural Networks, TensorFlow, PyTorch.

2
Month 2

Core Concepts

Go deep into CNNs, RNNs, Transfer Learning with guided practice.

3
Month 3

Applied Techniques

Apply Computer Vision, NLP with Deep Learning, Model Optimization to realistic scenarios.

4
Month 4

Advanced Practice

Strengthen GPU-based Training Basics and integrate your skills.

5
Month 5

Project Sprints

Build multiple hands-on projects with feedback and code review.

6
Month 6

Capstone Project

Deliver a capstone project that demonstrates your new skills end to end.

Tools Covered

Work with industry tools

PyTorch TensorFlow Keras CUDA Hugging Face OpenCV
Projects

Practical projects you'll build

1Image recognition model
2Text classification model
3Object detection prototype
4Neural network from scratch
5Deep learning capstone
6Transfer learning case study
Learning Outcomes

What you'll be able to do

  • Build and train deep neural networks
  • Apply CNNs and RNNs to real problems
  • Use transfer learning to accelerate results
  • Optimize models for performance
Career Pathways

Roles this program prepares you for

Deep Learning Engineer (Junior)Computer Vision AssociateML EngineerResearch Assistant

Program Format

  • Mentor-led live sessions
  • Recorded resources
  • Practical assignments
  • Mentor reviews
  • Project submissions

Eligibility

  • Basic computer knowledge
  • Interest in technology
  • Prior basics recommended
  • Commitment to project work

Certification

  • Certificate of completion
  • Project portfolio support
FAQ

Program questions

It's designed for learners comfortable with ml fundamentals who want neural network depth.
Yes — it is delivered online with mentor-led live sessions, recorded resources, assignments, and project reviews.
Yes — you receive a certificate of completion along with portfolio support.
Some prior basics in the area are recommended to get the most from this program.
Fees depend on the selected track and duration. Request fee details and an advisor will share the latest information.
Legacy Learning provides career preparation and placement assistance for eligible learners. Employment is not guaranteed and depends on learner performance, market conditions, employer criteria, interview outcomes, and role availability.
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