Deep Learning
Step into the world of neural networks and AI innovation. This 9-month Deep Learning Specialisation equips you with real-world skills in CNNs, RNNs, Transformers, and deep learning frameworks to launch a future-proof career in AI.
₹2,40,000
Program fee
₹2,40,000
Per month, EMI option
- Real Projects
- Placement Assistance
- Flexible Payment Options
About this program
Program timeline
- 01
Months 1–2: Neural Network Foundations
Understand perceptrons, MLPs, backpropagation, activation functions, and loss optimisation.
- 02
Months 3–5: Vision & Sequential Models
Build CNNs for images and RNNs/LSTMs for text and time series using PyTorch and TensorFlow.
- 03
Months 6–7: Advanced Architectures
Explore attention, Transformers, GANs, and hybrid networks used in real-world AI systems.
- 04
Months 8–9: Capstone & Career Support
Work on a capstone project and prepare for roles in deep learning engineering and AI research.
What you'll build
Real-World Module Development
Build CNNs, RNNs, GANs, and Transformers
Train models for image, text, and speech tasks
Use TensorFlow and PyTorch end-to-end
Understand model optimisation and deployment
Projects to Build Your Portfolio
Image classification with CNNs (MNIST, CIFAR)
Text generation using LSTM and GRU
Face recognition with Siamese networks
Object detection and segmentation using YOLO
Continuous Feedback & Improvement
Code reviews, architecture feedback, and tuning support
Mentor guidance to improve model accuracy and reliability
Live debugging and optimisation help
Weekly check-ins to ensure consistent growth
Placement Preparation
Resume building and GitHub portfolio curation
Mock interviews with deep learning case studies
Job connections through partner networks
Career guidance for research, startup, and product roles
Tools & technologies
Frameworks
- TensorFlow
- PyTorch
- Keras
Model Types
- CNNs (Convolutional Neural Networks)
- RNNs (Recurrent Neural Networks)
- GANs (Generative Adversarial Networks)
- Transformers
Supporting Tools
- NumPy
- OpenCV
- Scikit-learn
- Jupyter Notebooks
Deployment & Optimisation
- ONNX
- TensorFlow Lite
- TorchScript
- Google Colab
Why Choose This Program?
Hands-on Deep Learning Models: Work with CNNs, RNNs, and attention-based architectures using real-world datasets.
Framework-Focused Learning: Master TensorFlow and PyTorch—industry’s most in-demand deep learning tools.
Expert Mentorship: Weekly mentor calls and one-on-one guidance from AI professionals.
Career Launch Support: Portfolio development, resume building, mock interviews, and job referrals.
💰 Program Fee: ₹2,40,000 | EMI starts at ₹20,000/month
What Makes Us Unique?
| Features | Our Program | Traditional Courses | Free Tutorials |
| Real Deep Learning Projects | ✅ Yes | ❌ Rare | ❌ No |
| PyTorch & TensorFlow Mastery | ✅ Yes | ❌ Minimal | ❌ No |
| Placement Support | ✅ Yes | ✅ Yes | ❌ No |
| Payment Flexibility | ✅ Yes | ❌ Rare | ✅ Yes (Limited) |
How This Program Works
Who Is This Program For?
✅ Students & ML Enthusiasts – Dive deeper into neural networks and become AI-ready.
✅ Working Professionals – Advance your machine learning expertise into deep learning domains.
✅ Researchers & Innovators – Use deep learning to power research, innovation, and product development.
Tools & Technologies You’ll Master
Program Timeline
Career Outcomes
Prepare for high-growth roles such as:
Deep Learning Engineer
AI Research Associate
Computer Vision Specialist
NLP Engineer
💼 Average Salaries: ₹7–12 LPA (entry-level) | ₹15+ LPA (experienced with projects)
Why Deep Learning?
In-Demand Expertise: Powers everything from self-driving cars to smart assistants.
High-Paying Careers: One of the top-paying domains in the AI job market.
Future-Ready: Core to future AI breakthroughs in vision, speech, and language.
Frequently Asked Questions (FAQs)
Apply Now
Transform your career with Deep Learning skills that matter.
Apply now and build a future in advanced AI.
Contact & Pricing
💰 Total Fee: ₹2,40,000
📆 EMI: ₹20,000/month
📞 Call/WhatsApp: +91-8095858589
📧 Email: info@gullyacademy.com
Frequently asked questions
- Do I need prior ML knowledge?
- Basic understanding of machine learning helps but we include a brief ML refresher in Month 1.
- Will I work on real datasets?
- Yes! You’ll train models using real datasets like CIFAR-10, IMDB, MNIST, and custom sets.
- Do I get a certificate?
- Yes. You’ll receive an industry-recognised certificate from GullyAcademy after project completion.
- What if I miss a session?
- All sessions are recorded, and you'll have access to mentor support and office hours for doubts.
Questions about Deep Learning?
Leave your details and an advisor will call you back about this program.