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Deep Learning Training in Chennai

Explore, learn, and innovate with our Deep Learning certification. Build your digital skills for a digital world.
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Deep Learning - An Overview

Deep Learning is a trending buzzword after Machine Learning and Artificial Intelligence. Considered a subset of these latest technologies, Deep Learning aims to learn from massive data volumes by using artificial neural networks and advanced algorithms similar to the human brain. In short, Deep Learning enables machines to perform repetitive tasks with incredible precision and solve complex problems despite diverse, unstructured and interconnected data.

With Deep Learning on the rise, professionals with expertise in these concepts are in high demand. Aimore Technologies, the best software training institute in Chennai offers Deep Learning Certification which is exclusively designed to help you master the concepts of neural networks, ML algorithms, Deep Learning frameworks, and Artificial Intelligence. Gain profound insights and establish a successful career with Aimore’s Deep Learning courses in Chennai.

Deep Learning 50: Salient Features

Placement Guarantee
Aimore promises 100% placement in leading MNCs, ensuring a successful career trajectory for our Deep Learning 50-course candidates.
Real-World Simulations
Our training includes practical, hands-on lab sessions that replicate real-world scenarios, enabling you to put theory into practice effectively.
Expert Guidance
Learn best practices and build technical skills under the guidance of our accredited instructors. Choose from our flexible in-person or virtual course offerings.
Skill Validation
Enhance your credibility in Deep Learning with our industry-recognized credentials. Achieve your certification virtually with online proctoring or at a dedicated testing centre.
Tailored Learning
Follow a recommended learning plan tailored to a specific domain or job role. Our course structure allows for flexibility, letting you learn at your own pace.
Self-Paced Coursework
We respect your learning rhythm. All our course content is self-paced, offering a comfortable and efficient learning experience.
In-Depth Training
Our course comprises 55 hours of instructor-led training, ensuring comprehensive knowledge of Deep Learning.
Individual Assistance
We offer personalised one-on-one doubt resolution sessions to ensure thorough understanding at every learning stage.
Lifetime Attendance
Enjoy the freedom to attend our Deep Learning batches as many times as you wish, offering you lifetime learning access.

Deep Learning Course Timings

Weekdays 1 hr / day 9 AM to 9 PM 15 Days ONLINE/OFFLINE Enrol Now
Weekends 3 hrs 9 AM to 9 PM 3 Weeks ONLINE/OFFLINE Enrol Now

Build Your Future With Aimore Technologies

Dive deep into the world of Deep Learning with Aimore’s Deep Learning course in Chennai. Book your seat before time runs out!
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Eligibility Criteria for Deep Learning

Aimore’s Deep Learning training in Chennai is an excellent way to lay your foundation for a glorious career. Our program is meticulously designed to be accessible and engaging, carefully avoiding any unnecessary programming or mathematical complexities that could weigh down your learning experience.

To gain the most out of our training, it would be best if you have some familiarity with Calculus, Linear algebra, Probability, R, or Python.

Don't worry if you're a newcomer. Our training will have you applying deep learning techniques right from the outset. This means you'll have the chance to develop your knowledge and skills from scratch.

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Aimore’s Deep Learning Certification Syllabus

  • Understanding Neural Networks
  • Operational mechanism of neural networks
  • Gradients: Descent and Stochastic Descent
  • Introduction to Perceptron and Multilayer Perceptron
  • Unpacking BackPropagation
  • A Glimpse into Deep Learning
  • Local Deep Learning Environment Setup
    • Introduction to Tensorflow and its Installation
    • Keras Installation Guide
  • Cloud-Based Deep Learning Environment
    • Configuration on AWS
    • Configuration on GCP
  • Running a Tensorflow programme on the AWS platform
  • Unveiling Tensorflow Placeholders
    • How to define and use placeholders?
    • Feeding data into placeholders
  • Variables and Constants in Tensorflow
  • The Structure of Computation Graph
  • Visualising Computation Graph using Tensor Board
  • The Role of Activation Functions
  • Dissecting the Sigmoid Function
  • Analysing the Hyperbolic Tangent Function
  • Unpacking ReLu: Rectified Linear Units
  • Introduction to Softmax Function
  • Exploring the Intricacies of the MNIST Dataset
  • Key Hyperparameters and Their Definition
  • Constructing the Training Model
  • Mastering the Training Loop
  • Overfitting vs. Underfitting: Finding the Balance
  • Constructing Inference from Trained Data
  • Techniques to Learn Word Vectors
    • Preparing the Essential Libraries
    • Text Corpus Preparation
    • Constructing the word2vec Model
    • Model Training Session
    • Insights from the Model
  • Visualising Word Vectors on Tensor Board
  • A Brief on CNN
  • Crafting a Simple Convolutional Neural Network
  • Importance of Pooling Layer in CNN
  • Creating, Training, and Evaluating CNN
  • Techniques for Optimising Model Performance
  • Introduction to the Imagenet Framework
  • Discovering LeNet Architecture
  • Details on AlexNet Architecture
  • The Structure of VGGNet
  • ResNet Architectural Insights
  • The Essentials of Recurrent Neural Networks
  • The Recurrent Neuron: A Detailed Look
  • Deep Dive into Long Short-Term Memory (LSTM)
  • Grasping Backpropagation Through Time (BPTT)
  • RNN Implementation using Keras
  • Introducing Sequence-to-Sequence Models
  • Variations of RNNs: GRUs and LSTMs
  • Applying RNNs to Character-level Language Modelling
  • Delving into Natural Language Processing and Word Embeddings
  • Utilising HuggingFace Tokenisers and Transformer Models for NLP
  • Implementing Code for Classification
    • Gathering Necessary Libraries
    • Defining Model Hyperparameters
    • Constructing a Simple Neural Network
    • CNN and its Convolution Mechanism in Keras
    • The Significance of Pooling and Dropout Techniques
    • Augmenting Data for Better Results
Download Syllabus
Exclusive Benefits of

Aimore’s Deep Learning Certification

Specialist Guidance
World-class training based on real-world ideas delivered by subject matter specialists.
Skilful Mentorship
Hands-on Labs led by Certified Trainers who provide real-time guidance and help you master new skills in no time.
Innovative Workshops
Instructor-led sessions, workshops, lectures, and hands-on labs will help attendees explore ways to develop solutions with deep learning concepts.
Expert Guidance
Complete course guidance by our experienced faculty and working professionals from top-notch companies. They share their experience on how they handled specific tasks in their organisations.
Comprehensive Preparation
Comprehensive training program to prepare you to handle all the challenges in this field.
Recruitment Assistance
Interviews with the best MNCs and IT companies, regular updation of candidate profiles and profile improvements.
Algorithmic Understanding
Holistic understanding of cutting-edge algorithms and applications of Artificial Intelligence.

Learn How to Shape Your Career

Our experts can help you with a free career consultation. Call us for more information about our Deep Learning Certification.
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Deeper Insights Into Deep Learning

It is an open-sourced library created by Google to build Deep Learning models and numerical computation.

Traditional Machine Learning requires a domain expert to identify applied features and reduce data complexity. Deep Learning, however, is more beneficial because the algorithm learns high-level features incrementally and simplifies the process. Deep Learning is also popular because its technical superiority can handle large and complex size data. Aimore’s Deep Learning course in Chennai has many advantages because this technology is the base for many current innovations.

Of course, our certification course is apt for freshers since it helps you:
  • Master all Deep Learning concepts and models utilising Tensorflow and Keras
  • Familiarise yourself with basic and language neural network concepts.
  • Understand PyTorch, autoencoders and implement Deep Learning algorithms.
  • Lay a foundation for a bright career in Deep Learning engineering.

AI and Deep Learning are a potent career combo because:

  • The adoption and rise of AI is consistently gaining traction.
  • There is a high demand for trained professionals in this field.

Hence, if you are an AI enthusiast, it is best to make the most of the opportunities that come your way.

Aimore’s Deep Learning certification is designed in such a way that you receive adequate practical training along with theoretical knowledge. Our courses have modules that teach the basics and combine intense practical sessions aligning with the current industry challenges.

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