Deep Learning
Roadmap

Deep Learning Fundamentals
|
Neural Networks & Architectures
|
Data Preprocessing & Feature Engineering
|
Convolutional Neural Networks (CNNs)
|
Recurrent Neural Networks (RNNs) & LSTMs
|
Model Training, Optimization & Evaluation
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Deployment & Real-World Applications
Foundation Course in Digital Marketing

Course Description

Ready to start your career journey with a Diploma in Deep Learning & AI?

This comprehensive Diploma in Deep Learning is designed for learners who want to build strong, practical skills in Neural Networks, Computer Vision, NLP, and modern AI frameworks. You’ll learn how to work with real-world datasets, design and train deep learning models, and deploy them in production-like environments using Python, TensorFlow, PyTorch and related tools.

The program takes you from machine learning foundations to advanced architectures such as CNNs, RNNs/LSTMs, Transformers, and Generative Models. By the end, you will be ready for roles like Deep Learning Engineer, Computer Vision Engineer, AI Engineer, ML Engineer and more.

Comprehensive Curriculum

Neural Networks & Deep Learning Foundations
CNNs, RNNs, Transformers & Generative Models
Computer Vision & Natural Language Processing
Model Deployment, MLOps & Cloud AI Basics
Capstone AI Project & Portfolio Building

What You’ll Learn from this Diploma in Deep Learning?

Foundations of Machine Learning, Deep Learning & Neural Networks (theory + maths intuition)
Building models in TensorFlow & PyTorch: training loops, optimizers, regularization & tuning
Computer Vision with CNNs (image classification, object detection, augmentation)
NLP with RNNs, LSTMs, Attention & Transformers (text classification, sentiment analysis, Q&A)
Transfer learning, fine-tuning pre-trained models & working with Hugging Face style model hubs
Basics of deploying models as APIs, using cloud services, monitoring performance & versioning models

Why You Should Learn This?

Deep Learning is the engine behind modern AI—from face recognition, recommendation systems and voice assistants, to self-driving cars and generative AI. Companies across every industry are looking for people who can work with neural networks, big data and ML pipelines.

Learning Deep Learning gives you the power to build intelligent systems: understand data, design models, and ship AI features that solve real business problems.

At Skills Boost, our Diploma in Deep Learning is led by industry practitioners who have worked on real-world AI projects in areas like vision, NLP, recommendation systems and automation. You don’t just learn theory—you implement models, debug training issues, and deploy solutions end-to-end.

Through live classes, coding labs, assignments and a capstone project, you will build a strong portfolio on GitHub and gain the confidence to apply for AI, ML & Deep Learning roles in startups, product companies, service firms and research teams.

Program Curriculum

Python, Data Science & ML Foundations

Neural Networks & Deep Learning Basics

Convolutional Neural Networks & Computer Vision

Sequence Models, NLP & Attention

Advanced Architectures & Generative Deep Learning

Training at Scale, Experiment Tracking & Best Practices

Model Deployment & MLOps (Beginner Level)

Career Preparation for AI / Deep Learning Roles

Tools You will learn.

Python, NumPy, Pandas
TensorFlow / Keras
PyTorch
Jupyter / Colab
scikit-learn & ML Utilities
Visualization & Experiment Tracking (Intro Tools)
Git & GitHub
Basic Docker / API Deployment (Concept Level)

Hiring Partners

AI / ML Product Companies
IT Services & Consulting Firms
Startups & Innovation Labs
E-commerce & Internet Companies
BFSI, Healthcare & Analytics Firms
Telecom, Retail & Manufacturing (AI Use-Cases)
Research Labs & EdTech
Innovation Centers & AI Teams

Learning Outcomes

After successfully completing this Diploma in Deep Learning, learners will be able to apply for multiple AI & ML roles. Students can become…

Deep Learning Engineer

Deep Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Computer Vision Engineer

Computer Vision Engineer

NLP Engineer

NLP / Language AI Engineer

AI Engineer

AI Engineer

Data Scientist (DL Focus)

Data Scientist (DL Focus)

Research / ML Associate

Research / ML Associate

AI & ML Freelancer

AI & ML Freelancer

Fee Structure

Diploma in Deep Learning & AI

Duration: 6 Months (Comprehensive Training)
Class Duration: 1.5 Hours per Session
Batch Size: Limited to 15 Students
Certification: Industry Recognized Certificate
₹60,000
₹40,000
With Laptop Free
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Course Details

  • Duration: 3 Months
  • Timing: 7:00 PM - 9:00 PM
  • Batch Size: 25 Students

What's Included

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