Deep Learning Course at LearnAi

Master the Art of Neural Networks and AI

Why Enroll in the LearnAI Deep Learning Course?

Deep Learning, a subset of Machine Learning, is at the heart of groundbreaking advancements in artificial intelligence. From autonomous vehicles to voice recognition and healthcare diagnostics, Deep Learning is driving innovation across industries. At LearnAi, located in Dilsukhnagar, Hyderabad, our Deep Learning course is meticulously designed to provide you with the skills to build and optimize deep neural networks for real-world applications.

Our course offers a perfect blend of theoretical foundations and hands-on experience. You’ll dive into the architecture of neural networks, explore cutting-edge technologies, and gain proficiency in frameworks like TensorFlow and PyTorch. Whether you’re a data scientist, a tech enthusiast, or a professional aiming to specialize in AI, this course equips you with the expertise to create intelligent, adaptive systems.

Duration 30 Days

Deep Learning Course Online & Offline Classes

Mode of Training: Hybrid
Inclass & Online

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Who Should Enroll in the Deep Learning Course?

This course is ideal for individuals who want to become experts in designing, training, and deploying deep neural networks:

Beginners

Those with basic programming and machine learning knowledge who want to dive deeper into AI.

Deep Learning Course for Academic Student

Students

College and university students in fields like computer science, engineering, or data science aiming to specialize in AI.

Professionals

Software developers, data scientists, and IT professionals looking to advance their careers in AI and Deep Learning.

Deep Learning Course for Technology enthusiasts

Researchers

Academics and professionals aiming to explore innovative applications and contribute to AI research.

Deep Learning Course Curriculum

The Deep Learning Course follows a comprehensive and systematic curriculum. It includes the following core modules:

Fundamentals in C

Input-Output Functions

Arrays

Pointers

Storage Classes

Structures, Unions, Enumerations and Typedef

Operators and Expressions

Control Statements

Strings

Functions

Preprocessor Directives

Course Overview

The LearnAi Deep Learning Course provides a structured and in-depth exploration of neural networks and their applications. You’ll start with the fundamentals of perceptrons, activation functions, and backpropagation, progressing to advanced concepts like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).

With a strong emphasis on practical learning, you’ll implement models for tasks like image classification, natural language processing, and time-series forecasting. Our industry-aligned projects and case studies will give you hands-on experience in solving real-world problems with Deep Learning.

Skills You Will Gain

Upon completing the Deep Learning Course, you will acquire a comprehensive skill set to excel in AI-driven fields:

Neural Network Design

Learn to design and implement deep neural networks from scratch.

ANN

Understand and neural networks layer for tasks like Regression and Classification

RNN

Understand and create Recurrent layer for tasks like text summarization and time series forecasting

CNN

Understand and create Convolutional layer for tasks like image and video analysis

Generative Models

Understand and create GANs for tasks like image generation and data augmentation.

Model Optimization

Master techniques like hyperparameter tuning, regularization, and dropout for better performance.

Learn Deep Learning Course from beginners to advanced in Three Phases

Our course progresses through beginner to advanced levels, starting with neural network basics and advancing to complex architectures and applications. Each phase includes interactive lectures, coding challenges, and project-based learning to ensure mastery.