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Radhe Radhe

UNDERTAKEN BY SHREE JEE

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Programming

Master Deep Learning From Basics to Advanced

Master the cutting-edge field of deep learning from the ground up. This course will guide you through neural networks, convolutional and recurrent architectures, generative models, and deployment preparing you to build intelligent AI systems that power next-gen applications.

Hands-on projects, real-world case studies, and industry-standard tools like TensorFlow & PyTorch learn to build and deploy intelligent models for computer vision, NLP, and automation.

5.0 (136 Reviews) Rating Industry Experience Experience

Course includes:

  • LevelExpert
  • Duration6 Months
  • Lessons150+
  • Batches Completed30+
  • CertificationsYes
  • LanguageHindi/English
Course Fee : Rs.24000/-

Course Description

Unlock the power of Deep Learning the technology behind self-driving cars, generative AI, advanced robotics, medical diagnostics, and intelligent automation. This course takes you from foundational neural network concepts to advanced architectures like CNNs, RNNs, Transformers, and Generative AI.

Through hands-on coding in Python, TensorFlow, and PyTorch, real-world datasets, and project-based learning, you will build models for image classification, object detection, text generation, sentiment analysis, and more. Whether you're aspiring to be an AI Engineer, Machine Learning Engineer, or Data Scientist, this program prepares you for high-demand AI industry roles.

Benefits of The Course

The Deep Learning Course at Softsynth prepares you to become an industry-ready AI professional. Learn with hands-on labs, live coding, real-world datasets, advanced model deployment, and AI industry tools enabling you to build intelligent applications that solve real problems.

100% Placement *

Get end-to-end placement support including portfolio building, mock interviews, and referrals to hiring partners.

  • 85% Attendance required throughout training.
  • Clear all tests and assignments with at least 80%.
  • Build and submit your AI & Deep Learning capstone project.
  • Follow project and discipline guidelines.

*Placement eligibility depends on performance, portfolio, and interview outcomes.

  • Industry-oriented curriculum aligned with AI & ML job roles.
  • Hands-on Deep Learning Projects with real datasets.
  • Model Deployment on cloud with APIs.
  • Learn TensorFlow & PyTorch top AI frameworks.
  • Work on Computer Vision & NLP real-world use cases.
  • Industry mentor support & doubt-solving sessions.
  • Internship & certification after course completion.

Course Curriculum

Download Course PDF

Explore our comprehensive Deep Learning curriculum designed to take you from fundamentals to advanced applications in AI. Master neural networks, CNNs, RNNs, Transformers, Generative AI models, and real-world deployment using TensorFlow & PyTorch.

Introduction to AI & Deep Learning

  • AI vs ML vs Deep Learning
  • Real-world AI applications
  • Types of Machine Learning
  • Deep Learning Pipeline & Workflow

Python & Data Foundations

  • Python for AI
  • NumPy & Pandas
  • Data Cleaning & Processing
  • Data Visualization (Matplotlib & Seaborn)

Neural Network Fundamentals

  • Perceptron & Neurons
  • Activation Functions
  • Forward & Backpropagation
  • Loss Functions & Optimizers

Deep Learning Frameworks (TensorFlow & PyTorch)

  • Building & Training Models
  • Custom Layers & Metrics
  • Callbacks & Model Evaluation
  • Model Saving & Loading

Computer Vision & CNNs

  • Image Processing Basics
  • Convolutional Neural Networks (CNNs)
  • Transfer Learning (VGG, ResNet, EfficientNet)
  • Image Classification Project

NLP & Sequential Models

  • Text Preprocessing & Tokenization
  • Embeddings & Word2Vec
  • RNN, LSTM, GRU
  • Sentiment Analysis Project

Transformers & Generative AI

  • Attention Mechanism
  • BERT, GPT & LLM Fundamentals
  • GANs & VAEs
  • Text & Image Generation Project

Model Deployment & MLOps Basics

  • Model Serving & API Deployment
  • Docker & Cloud Basics
  • Streamlit/Flask Deployment

Capstone Project & Internship

  • End-to-End AI Project
  • Dataset Selection & Training
  • Model Deployment Showcase
  • Certificate & Internship Support
  • Hands-on practice on real-world datasets & deployment

Completion Certificate

Upon successful completion of the course, you will receive a verifiable digital certificate to showcase your new skills.

Course Completion Certificate