Deep Learning & Neural Networks
Learn Deep Learning and Neural Networks with Python and build intelligent models for image, text, and predictive applications through practical training and real-world projects.
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Practical Training on Live Projects
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Placement Assistance
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Years of Experienced Industry Trainers
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Learners Trained
The Deep Learning and Neural Networks Course is designed to help learners understand how neural networks work and how deep learning can be applied to solve complex real-world problems. The course takes learners from fundamental concepts to practical deep learning model development.
You will learn key concepts including neural network architecture, activation functions, forward and backward propagation, loss functions, optimization, model training, and performance evaluation. The course also introduces important deep learning architectures such as Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs).
Understand neural network architecture, neurons, activation functions, loss functions, forward propagation, and backpropagation.
Learn how to build, train, evaluate, and improve deep learning models using Python and popular frameworks.
Explore Convolutional Neural Networks and learn how deep learning models can process and classify image data.
Learn how Recurrent Neural Networks work with sequential data and explore applications involving text, time series, and other sequences.
· What is Artificial Neural Network (ANN)?
· How Neural Network Works?
· Perceptron
· Multilayer Perceptron
· Feed Forward
· Back propagation
· What is Deep Learning?
· Deep Learning Packages
· Deep Learning Applications
· Building Deep Learning Environment
o Installing Tensor Flow Locally
Understanding Google Colab
· What is Tensorflow?
· Variables, Constants
· Scalar, Vector, Matrix
· Operations using tensorflow
Difference between tensorflow and numpy operations
· What does optimizers do?
· Gradient Descent (full batch and min batch)
· Stochastic Gradient Descent
Learning rate,epoch
· What does Activation Functions do?
· Sigmoid Function,
· Hyperbolic Tangent Function (tanh)
· ReLU –Rectified Linear Unit
· Softmax Function
Vanishing Gradient Problem
Hands-on practical capstones and production-grade applications
Deep Learning
Started 12 Sept 2026 · Saturday and Sunday · Mentor: Aditya sir
Deep Learning
Started 5 Oct 2026 · Monday to Thursday · Mentor: Aditya sir
Deep Learning
Starts 19 Oct 2026 · Monday to Thursday · Mentor: Aditya sir
Deep Learning EngineerAI/ML EngineerMachine Learning EngineerData ScientistComputer Vision EngineerNLP EngineerAI Developer
Get 100% Placement Support with resume guidance, interview preparation, mock interviews, and career assistance.
Student Testimonials
Real feedback from graduates across classroom and online programs
“I had a great learning experience at LN AI Academy. The trainers explain complex topics in a very simple and practical way. The hands-on projects helped me understand how AI and Data Science are used in real-world applications.”
Rahul SharmaData Science Training“I joined LN AI Academy to learn Data Analytics and Machine Learning. The training is practical, and the trainers are very supportive. I especially liked the project-based learning and the way doubts are explained patiently.”
Priya VermaData Analytics Training“My experience at LN AI Academy has been really good. Aditya Sir explains difficult concepts with simple examples and gives proper guidance during practical sessions. The projects helped me gain more confidence in my skills.”
Neha SinghMachine Learning“I would recommend LN AI Academy to anyone who wants to learn AI, Data Science, and Machine Learning. The training is focused on practical knowledge, and the trainers are knowledgeable and supportive throughout the course.”
Amit KumarAI Training“LN AI Academy has been a great place to improve my technical skills. The concepts are explained from the basics, followed by practical sessions and projects. The learning environment is friendly and comfortable for beginners.”
Arjun MehtaPower Bi Training“I had a great learning experience at LN AI Academy. The trainers explain complex topics in a very simple and practical way. The hands-on projects helped me understand how AI and Data Science are used in real-world applications.”
Rahul SharmaData Science Training“I joined LN AI Academy to learn Data Analytics and Machine Learning. The training is practical, and the trainers are very supportive. I especially liked the project-based learning and the way doubts are explained patiently.”
Priya VermaData Analytics Training“My experience at LN AI Academy has been really good. Aditya Sir explains difficult concepts with simple examples and gives proper guidance during practical sessions. The projects helped me gain more confidence in my skills.”
Neha SinghMachine Learning“I would recommend LN AI Academy to anyone who wants to learn AI, Data Science, and Machine Learning. The training is focused on practical knowledge, and the trainers are knowledgeable and supportive throughout the course.”
Amit KumarAI Training“LN AI Academy has been a great place to improve my technical skills. The concepts are explained from the basics, followed by practical sessions and projects. The learning environment is friendly and comfortable for beginners.”
Arjun MehtaPower Bi Training“I had a great learning experience at LN AI Academy. The trainers explain complex topics in a very simple and practical way. The hands-on projects helped me understand how AI and Data Science are used in real-world applications.”
Rahul SharmaData Science Training“I joined LN AI Academy to learn Data Analytics and Machine Learning. The training is practical, and the trainers are very supportive. I especially liked the project-based learning and the way doubts are explained patiently.”
Priya VermaData Analytics Training“My experience at LN AI Academy has been really good. Aditya Sir explains difficult concepts with simple examples and gives proper guidance during practical sessions. The projects helped me gain more confidence in my skills.”
Neha SinghMachine Learning“I would recommend LN AI Academy to anyone who wants to learn AI, Data Science, and Machine Learning. The training is focused on practical knowledge, and the trainers are knowledgeable and supportive throughout the course.”
Amit KumarAI Training“LN AI Academy has been a great place to improve my technical skills. The concepts are explained from the basics, followed by practical sessions and projects. The learning environment is friendly and comfortable for beginners.”
Arjun MehtaPower Bi Training“I had a great learning experience at LN AI Academy. The trainers explain complex topics in a very simple and practical way. The hands-on projects helped me understand how AI and Data Science are used in real-world applications.”
Rahul SharmaData Science Training“I joined LN AI Academy to learn Data Analytics and Machine Learning. The training is practical, and the trainers are very supportive. I especially liked the project-based learning and the way doubts are explained patiently.”
Priya VermaData Analytics Training“My experience at LN AI Academy has been really good. Aditya Sir explains difficult concepts with simple examples and gives proper guidance during practical sessions. The projects helped me gain more confidence in my skills.”
Neha SinghMachine Learning“I would recommend LN AI Academy to anyone who wants to learn AI, Data Science, and Machine Learning. The training is focused on practical knowledge, and the trainers are knowledgeable and supportive throughout the course.”
Amit KumarAI Training“LN AI Academy has been a great place to improve my technical skills. The concepts are explained from the basics, followed by practical sessions and projects. The learning environment is friendly and comfortable for beginners.”
Arjun MehtaPower Bi TrainingFAQs
Anything else? Talk to us on the contact page — a counsellor replies within a day.
The course covers neural networks, activation functions, backpropagation, optimization, model training, CNNs, RNNs, and deep learning applications.
The course is suitable for learners with a basic understanding of Python and machine learning who want to advance into deep learning.
No. You will learn the fundamentals of neural networks before moving into advanced deep learning concepts.
The course primarily uses Python along with popular deep learning frameworks and libraries.
Yes. The course covers Convolutional Neural Networks (CNNs) for image-related applications and Recurrent Neural Networks (RNNs) for sequential data.
Yes. You will work on hands-on projects involving image classification, digit recognition, sentiment analysis, and time-series forecasting.
Yes. The course includes 100% Placement Support, including resume guidance, interview preparation, mock interviews, and career assistance.
Talk to a counsellor about your background and goals. Fifteen minutes of honest advice — no sales script, no obligation.
15000+GST20000+GST
