Deep Learning
Master the core techniques of Deep Learning and unlock the power of AI. Learn to build, train, and deploy neural networks for real-world applications. Gain hands-on experience with frameworks like TensorFlow and PyTorch. Work on projects in computer vision, NLP, and predictive analytics. Equip yourself with skills that top tech companies seek in AI and data science professionals.
Course Overview
You’ll start with the fundamentals of perceptrons, activation functions, and backpropagation.
Progress to advanced architectures including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers.
Learn to apply deep learning techniques to real-world problems such as image recognition, natural language processing, and predictive modeling.
Hands-on labs and projects using Python, TensorFlow, and PyTorch ensure practical experience.
By the end, you’ll have the knowledge and portfolio to launch a career in AI, data science, or research.
what you will learn
- Understand the fundamentals of neural networks and deep learning architectures.
- Build, train, and optimize models for computer vision, NLP, and predictive analytics.
- Implement advanced networks such as CNNs, RNNs, LSTMs, and Transformers.
- Work with large datasets and apply techniques like regularization, dropout, and batch normalization.
- Gain hands-on experience with TensorFlow and PyTorch.
- Develop end-to-end AI projects to showcase in your portfolio.
- Understand best practices for model evaluation, deployment, and scalability.
- Prepare for roles in AI, Machine Learning, and Deep Learning engineering.
Next Cohort Starts On 30 Nov
Skilled Covererd
- Neural Network Design and Training
- Deep Learning for Computer Vision and NLP
- Model Optimization, Regularization, and Hyperparameter Tuning
- TensorFlow and PyTorch Implementation
- Handling Large Datasets and Feature Engineering
- Deployment of Deep Learning Models for Real Applications
Benefits
The certification can help you land lucrative roles in IT, manufacturing, finance, healthcare, and other exciting industries certified project managers drive better project performance and are often rewarded with substantial pay raises as shown below.
Designation
Annual Salary
Hiring Companies
Course Curriculum
Introduction to Deep Learning
Biological vs Artificial Neuron
Activation functions
Neural Network Basics
Loss Functions & Optimizers
Regularization Techniques
Building DNNs – Part 1
Building DNNs – Part 2
CNN Concepts
CNN Architectures
Transfer Learning
Image Classification Project
Sequential Data
Attention & Transformers
NLP Applications
Model Deployment
Capstone Project – Part 1
Capstone Project – Part 2
Capstone Project – Part 3
Deep Learning Interview Prep
Deep Learning FAQ
No, the course starts with foundational concepts and builds up to advanced deep learning techniques.
You’ll work with Python, TensorFlow, and PyTorch to implement and deploy deep learning models.
Yes, the course includes hands-on projects in computer vision, NLP, and predictive analytics.
Absolutely. The course guides learners from the basics of neural networks to advanced deep learning architectures.
You’ll gain job-ready skills in deep learning and AI, enhancing opportunities in data science, AI engineering, and research roles.
Eligibility
- Gain in-demand skills for careers as AI Engineer, Deep Learning Specialist, or Data Scientist.
- Build hands-on experience with real-world datasets and projects.
- Strengthen your technical portfolio with AI-driven solutions.
- Learn cutting-edge techniques used by leading tech companies.
- Open doors to roles in industries like healthcare, finance, autonomous systems, and robotics.
- Stay ahead in AI research and practical application with deep learning expertise.
- Increase employability and potential earning with high-demand AI skills.
- Prepare for advanced studies or specialization in AI and Machine Learning
Pre-requisites
- Basic knowledge of Python programming.
- Understanding of mathematics, including linear algebra, probability, and calculus (helpful but not mandatory).
- Familiarity with machine learning concepts is helpful but not required.
- A strong interest in artificial intelligence and problem-solving using data.
Contact Us
1800-212-7688
(Toll Free)
Why join this program
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainers
Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problems
Capstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops
24×7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
