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Generative AI
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View courseDeep Learning Course in Kurnool
Build neural networks, CNNs, RNNs and transformers for vision and NLP with TensorFlow and PyTorch.
⏱ Duration: 3 months
🎯 Level: Intermediate
🏫 Mode: Classroom · Online · Hybrid
📍 Kurnool
Deep Learning course overview
The Deep Learning course in Kurnool takes you deep into neural networks — CNNs for vision, RNNs and transformers for language — using TensorFlow and PyTorch. You'll train real models and understand the architectures powering modern AI.
Who is this course for? Learners with ML or strong programming basics who want to specialise in deep learning and neural networks.
- Course
- Deep Learning
- Category
- AI & Generative AI
- Duration
- 3 months
- Level
- Intermediate
- Mode
- Classroom, Online & Hybrid
- Location
- Kurnool (AP)
- Prerequisites
- Python and basic machine learning understanding recommended.
- Certificate
- Yes, on completion
Deep Learning syllabus & modules
A practical, hands-on curriculum that takes you step by step from fundamentals to a real project.
1
Neural Network Fundamentals
Perceptrons, activation functions and backpropagation.
2
Training Deep Networks
Optimisers, regularisation and avoiding overfitting.
3
Convolutional Neural Networks
CNNs for image classification and computer vision.
4
Recurrent Networks & Sequences
RNNs, LSTMs and sequence modelling.
5
Transformers & Attention
The architecture behind modern LLMs and vision models.
6
Frameworks in Practice
Hands-on TensorFlow and PyTorch model building.
7
Deep Learning Capstone
Train and evaluate a deep model on a real dataset.
📄
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Tools & technologies you'll use
PythonTensorFlowKerasPyTorchOpenCVNumPyGPU/Colab
What you'll be able to do
- Build and train neural networks from scratch
- Apply CNNs to computer vision tasks
- Model sequences with RNNs and LSTMs
- Understand transformers and attention
- Use TensorFlow and PyTorch confidently
Career opportunities after this course
Skills from the Deep Learning course can support roles such as:
Deep Learning EngineerComputer Vision EngineerNLP EngineerAI Researcher
Why learn Deep Learning at LearnAI Skill Hub, Kurnool?
- Trainers who are active, working industry professionals
- Hands-on, project-based learning with a portfolio outcome
- Classroom in Kurnool, plus live online & hybrid options
- Internship and placement support with our hiring-partner network
- Local to Kurnool, Nandyal, Adoni, Yemmiganur & Dhone — no need to relocate
Deep Learning course — frequently asked questions
Neural networks, CNNs for vision, RNNs and LSTMs for sequences, and transformers — built hands-on in TensorFlow and PyTorch.
No. You can train models using free cloud GPUs like Google Colab, which we use in the course.
Basic ML helps, but motivated learners with strong Python can start here; core concepts are revised.
Both TensorFlow/Keras and PyTorch, so you're comfortable with the two most widely used deep learning libraries.
Yes, available online live and in our Kurnool classroom with hands-on projects.
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Book a free demo class, meet your trainer and get the full syllabus and fee details. No obligation.