Deep Learning With Python

Build, train, and deploy deep learning models with real-world projects.

Deep Learning with Python: Powering AI Innovation

Build intelligent AI systems and real-world machine learning models using Python.

If you're searching for the best Deep Learning course in Nepal, this is it. Code IT's 1-month Deep Learning with Python training is a complete AI course — taking you from Python fundamentals and core machine learning concepts to building and deploying powerful deep learning models for real-world applications.

Deep Learning is the backbone of modern AI, powering technologies like image recognition, speech processing, and recommendation systems. Nepal's tech industry is rapidly adopting AI solutions — and deep learning engineers are among the most in-demand professionals in today’s job market.

This course goes far deeper than most. You'll master Python for data science, work with libraries like NumPy, Pandas, Matplotlib, and Scikit-learn, and build deep learning models using TensorFlow and Keras. You'll learn neural networks, activation functions, forward & backward propagation, and optimization techniques. You'll work on real-world projects like image classification, prediction models, and basic natural language processing (NLP). You'll also understand data preprocessing, model evaluation, and deployment basics, along with using Git for professional workflows.

Live classes run from 8:00 PM to 9:30 PM via Google Meet, accessible from Kathmandu, Pokhara, Biratnagar, Butwal, Chitwan, or anywhere in Nepal. Classroom sessions available in Dharan. Basic Python knowledge is recommended but beginners are also guided step-by-step.

Every student receives lifetime video access and an industry-recognized certificate.

Prerequisites

Willingness to learn and practice regularly
Basic understanding of Python (variables loops functions)
Familiarity with simple mathematics (algebra basic statistics)
Deep Learning With Python
🎯 Starts in 19 Days

Deep Learning With Python

Starts: May 05, 2026
Mode: Online (Google Meet) Google Meet
Duration: 1.5 months
Class Time: 8:00 - 9:30 pm
Seats available - Register now
Rs.2,499/-
Rs.24,500 Save 89%
Enroll Now

Have any Question?

WhatsApp: 9862130505
Telephone: 025-575163

Everything You Receive

All-inclusive support — from training to real-world experience

Live Classes

Google Meet
8:00 - 9:30 pm

Lifetime Videos

Re-watch anytime

Certification

Industry recognized

Internship

No internships are available right now.

Course Curriculum

Everything you'll learn — from fundamentals to advanced concepts

Course Outlines

  • Python fundamentals for machine learning

  • Machine Learning

  • Deep Learning

  • Neural Network

Full Curriculum

01 Week 1: Foundations for Deep Learning
Introduction to Artificial Intelligence, Machine Learning, and Deep Learning
Basic Python concepts required for deep learning
Introduction to NumPy, Pandas and Matplotlib
Understanding datasets including features and labels
Basic data preprocessing such as cleaning and normalization
02 Week 2: Core Neural Network Concepts
Introduction to neural networks
Understanding how a neuron works in simple terms
Perceptron concept and its limitations
Structure of a neural network including input, hidden, and output layers
Understanding weights, bias, and activation
Activation functions: ReLU and Sigmoid
Forward flow of data through the network
Introduction to TensorFlow/Keras
03 Week 3: Training Deep Learning Models
Understanding how models learn from data
Loss functions and their role in training
Concept of gradient descent and learning rate
Optimizers with focus on practical usage(SGD, Adam)
Model evaluation basics (Accuracy, Precision, Recall – overview)
Understanding overfitting and underfitting
Techniques to improve models such as dropout and early stopping
04 Week 4: Convolutional Neural Networks
Introduction to convolutional neural networks(CNN)
Understanding feature extraction from images
Concept of pooling for reducing data size
Basic structure of a convolutional neural network
05 Week 5: Applied Deep Learning and Final Project
Understanding transfer learning in a simple way
Introduction to sequence models
Basics of working with text data (simple preprocessing)
Saving and using trained models
Basic idea of deploying models
06 Week 1: Practical
Load and explore a dataset
Prepare data for training a model
07 Week 2: Practical
Build a basic neural network model
Train the model on a simple dataset
08 Week 3: Practical
Train models and observe performance
Improve results by tuning parameters
09 Week 4: Practical
Build a convolutional neural network model
Perform image classification on a simple dataset
10 Week 5: Practical
Work on a final project based on real world problems
Choose from image classification, sentiment analysis, or a simple AI application

Earn Your Certification

After completing the course, you will receive a professional certificate from Code IT, verified by industry leaders in Nepal.

Share your achievement with pride on LinkedIn.
Certificate

Course Mentors

Learn directly from industry experts with years of hands‑on experience

Subas Upadhyaya

Subas Upadhyaya

Deep Learning with Python

Code IT 3+
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