Will the Practical Concepts be covered in Deep Learning Training in Hyderabad?

Yes. The course offers hands-on training, including exercises and assignments.

Do you need technical expertise for taking up Deep Learning Course in Hyderabad?

No. It is possible for beginners to begin learning with the basics.

Will projects be conducted in Deep Learning Classes in Hyderabad?

Yes. There will be hands-on assignments along with real-life projects.

Is the course relevant for freshers?

Yes. Beginners can take the course from the beginning, as it covers basics first.

Are there any sections for interview preparation in the course?

Yes. Resume preparation and interview training are provided.

Are working professionals eligible for taking up this course?

Yes. The flexible schedule makes it possible for working professionals to attend the training.

Are there options for certification in the course?

Yes. Certification assistance is provided.

Is practical learning covered in the entire course?

Yes. The course covers practical exercises and activities that help learners get hands-on experience.

What are the career prospects upon completing the course?

The course helps learners become eligible for careers like Deep Learning Engineer, AI Expert, Data Science Expert, and AI Consultant.

Is the Deep Learning Training course in Hyderabad helpful for future career prospects?

Yes. Deep Learning is required in multiple industries, thus providing career prospects for learners.

Will the Practical Concepts be covered in Deep Learning Training in Hyderabad?

Yes. The course offers hands-on training, including exercises and assignments.

Do you need technical expertise for taking up Deep Learning Course in Hyderabad?

No. It is possible for beginners to begin learning with the basics.

Will projects be conducted in Deep Learning Classes in Hyderabad?

Yes. There will be hands-on assignments along with real-life projects.

Is the course relevant for freshers?

Yes. Beginners can take the course from the beginning, as it covers basics first.

Are there any sections for interview preparation in the course?

Yes. Resume preparation and interview training are provided.

Are working professionals eligible for taking up this course?

Yes. The flexible schedule makes it possible for working professionals to attend the training.

Are there options for certification in the course?

Yes. Certification assistance is provided.

Is practical learning covered in the entire course?

Yes. The course covers practical exercises and activities that help learners get hands-on experience.

What are the career prospects upon completing the course?

The course helps learners become eligible for careers like Deep Learning Engineer, AI Expert, Data Science Expert, and AI Consultant.

Is the Deep Learning Training course in Hyderabad helpful for future career prospects?

Yes. Deep Learning is required in multiple industries, thus providing career prospects for learners.

Deep Learning Training in Hyderabad | Learn AI & Neural Networks

Home /Data Science & AI/Deep Learning Training Program

Master Deep Learning with hands-on projects, Python, TensorFlow, and neural networks. Get expert training, certification, and placement support.

4.9 out of 5 based on 25977 votes

4.2/5

4.8/5

4.6/5

4.3/5

4.5/5

In collaboration with

400+

Corp. Tie-Ups

Online/Offline

Format

LMS

Life Time Access

Book A Free Counselling Session

we train you to get hired.

Request more information_

ABOUT CURRICULUM REAL STORIES PROJECTS COURSE FEE SELF-ASSESSMENT ACTIVITIES PLACEMENTS practice tests ENROLL NOW

The Deep Learning Training in Hyderabad will help you in acquiring deep knowledge about Artificial Intelligence and Machine Learning Technologies for all kinds of students, freshers, professional learners, and individuals willing to learn Artificial Intelligence and Machine Learning technologies. Deep Learning is a subset of artificial intelligence which plays an essential role in providing machines the ability to learn and take decisions based on large datasets with minimal human intervention. Deep learning course applications are being used in today's time for image recognition, speech processing, automation, recommendations, healthcare solutions, and business analysis purposes.
The Deep Learning Course in Hyderabad begins with basic concepts, and then it covers all theoretical knowledge as well as practical aspects. Students will get information about deep learning algorithms, working of deep learning models, data processing through deep learning, and development of intelligent systems.
Deep Learning Classes in Hyderabad are very systematically designed. Each concept is taught in detail and in a very simple manner, so that one builds a good understanding of the basics before going further into advanced levels.
What You Will Learn

Understand the fundamentals of deep learning

Learn how neural networks work

Understand data preparation techniques

Learn model training concepts

Work with image processing projects

Learn speech and text processing basics

Understand deep learning algorithms

Work on practical exercises

Learn model evaluation methods

Build implementation skills through projects

Course Objectives
The key purpose of the Deep Learning Training in Hyderabad is to ensure that learners get to know how the process of developing deep learning models actually takes place in reality. It also aims at helping learners feel confident with different types of deep learning approaches. Learners come to know how deep learning is applied in various industries using intelligent systems.
Main Learning Goals

Understand deep learning fundamentals

Learn neural network architecture

Understand data processing concepts

Learn model training techniques

Work with image-based applications

Understand text and language processing

Learn model optimization methods

Understand project implementation

Gain practical project exposure

Deep Learning Training in Hyderabad is all about implementation and application of what they learn. The course involves practical projects based on industry requirements to enable students to learn how to develop and implement deep learning solutions.
Features Provided

Learning through practical classes

Assignments through projects

Industry-oriented syllabus

Case studies

Practical assignments

Support for interviews

Advice on resumes

Assistance in career counseling

Various learning facilities

Trained professionals for assistance

Training methodology emphasizes learning through practical knowledge over theory only.

Deep Learning classes Hyderabad are ideal for people coming from various educational and professional backgrounds because it starts with fundamental topics, which makes it possible even for beginners. No prior technical knowledge is needed to join these classes. All that you need to know is computer basics and your passion for technology.
Who Can Join:

Students

Fresh graduates

Software professionals

Data enthusiasts

IT professionals

Business professionals

Career changers

Research learners

Engineering graduates

Anyone interested in artificial intelligence

The course is designed in a way that allows learners from different backgrounds to understand the topics comfortably.

There is always an increasing need for deep learning specialists, especially with the advent of artificial intelligence and automation. The industry seeks candidates with knowledge of deep learning along with its practical application procedures.
The Deep Learning Training in Hyderabad is designed to help learners acquire skills that will be useful in the technology-oriented industries, which use artificial intelligence and automation.

Healthcare: Deep learning is used to analyze imaging, diagnose conditions, and provide better healthcare services.
Finance: Deep learning is applied in analyzing risks, detecting fraud, and understanding consumer behavior.
Retail: Deep learning is helpful in customer recommendation, demand forecasting, and sales analysis.
Manufacturing: Deep learning is used for automation, quality checking, and prediction.
Education: Deep learning provides for personalized experience through intelligent learning.
Transportation: Deep learning aids in route analysis, traffic analysis, and automation.
Artificial intelligence is becoming increasingly popular, thereby providing many opportunities for deep learning specialists.

After completing the Deep Learning Course in Hyderabad, learners can explore various career opportunities in technology and artificial intelligence domains.
Popular Job Roles

Deep Learning Engineer

AI Engineer

Machine Learning Professional

Data Analyst

Research Associate

AI Consultant

Computer Vision Professional

NLP Professional

Data Science Professional

Automation Specialist

Many organizations are actively investing in artificial intelligence technologies, creating long-term career opportunities.

The Deep Learning Classes in Hyderabad follow a structured learning path that helps learners move from fundamentals to practical implementation.
Module 1
Introduction to Deep Learning

Overview of deep learning

Artificial intelligence basics

Machine learning concepts

Industry applications

Learning workflow

Real-world usage

Module 2
Foundations of Neural Networks

Neural network basics

Layers and connections

Activation functions

Forward propagation

Backpropagation concepts

Model learning process

Module 3
Data Preparation and Processing

Data collection methods

Data cleaning concepts

Data transformation

Dataset preparation

Feature handling

Training data management

Module 4
Deep Learning Model Development

Model building concepts

Training techniques

Testing methods

Performance measurement

Error reduction methods

Model improvement approaches

Module 5
Computer Vision Applications

Image processing basics

Object recognition concepts

Image classification

Pattern detection

Practical exercises

Project implementation

Module 6
Natural Language Processing

Text processing concepts

Language understanding basics

Text classification

Sentiment analysis

Practical applications

Business use cases

Module 7
Advanced Deep Learning Concepts

Model optimization

Performance enhancement

Large-scale applications

Industry implementation

Deployment concepts

Best practices

Module 8
Projects and Interview Preparation

Real-world projects

Practical assignments

Business scenarios

Resume building

Interview preparation

Mock interview sessions

Each module is designed to build practical understanding step by step.

The most significant aspects included in the Deep Learning Training in Hyderabad include the subject of neural networks. Neural networks are the basis for any deep learning model, which makes it possible for computers to derive patterns from data sets.
Participants get to know how the layers interact with each other and how information flows through the network in order to generate output.
Topics Covered

Neural network structure

Input and output layers

Hidden layer concepts

Learning process

Error correction methods

Performance improvement

Model evaluation

Practical implementation examples

Understanding neural networks helps learners gain a clearer picture of how deep learning models function in real applications.

Deep Learning Courses in Hyderabad have a major emphasis on practical implementation. Concepts are taught in a practical manner via projects, exercises, and scenarios to help students learn how the theories are used in practical situations.
Some Practical Activities Involved

Assignment-based learning

Exercises

Implementation of projects

Study of case studies

Development of models

Performance analysis activities

Solving business problems

Other industry-specific tasks

Practical learning increases one's confidence.
Certifications
The Deep Learning Courses Hyderabad also assist learners to prepare for their professional certification and evaluation processes. These certifications aid learners to prove their skills during job interviews and job applications.
Certification Support

Certification guidance

Mock assessments

Practical evaluations

Project reviews

Skill testing sessions

Interview preparation

Resume support

Career counseling

Professional certifications can strengthen a learner's profile and improve career prospects.

After completing the Deep Learning Training in Hyderabad, learners can explore opportunities based on their skills, project experience, and practical knowledge.
Strong understanding of deep learning concepts and project exposure often contributes to better career growth opportunities.
Freshers: 4 LPA to 8 LPA according to skillsets, project involvement, and comprehension of deep learning concepts.
1 to 3 Years of Experience: 7 LPA to 15 LPA according to practical experience, technical abilities, and involvement in projects.
Experience: 15 LPA and above according to specialization, industry experience, managerial roles, and knowledge of deep learning.
Salary Depends On

Practical skills

Project experience

Technical knowledge

Problem-solving ability

Interview performance

Learning capability

Professional certifications

Industry exposure

Career growth generally improves with experience and practical implementation knowledge.

The Deep Learning Course in Hyderabad prepares learners for long-term growth opportunities in artificial intelligence and advanced technology fields. As professionals gain more experience, they can move into higher-level positions and specialized roles.
Career Roles

Deep Learning Engineer

AI Consultant

Data Science Professional

Research Professional

Technical Specialist

AI Architect

Project Lead

Solution Consultant

Senior AI Professional

Technology Manager

Future Growth Areas

Artificial intelligence projects

Automation solutions

Business intelligence systems

Research and development

Enterprise technology solutions

Intelligent applications

Advanced analytics

Technology consulting

The artificial intelligence industry continues to expand, creating strong opportunities for skilled professionals.

In the Deep Learning Classes of Hyderabad, learners will engage in practice learning, and not just theory learning.
Learning Methodology
The learning methodology adopted here will ensure that the learners have a very easy time learning.
Benefits of the Learning Process

Practical learning

Project-based assessments

Focus on industry-oriented education

Experienced instructors

Flexible learning hours

Interview preparation

Help in resume making

Career guidance

Practical sessions

Hands-on sessions

Real world project exposure

The ultimate objective of the training process here is to make learners competent enough for professional purposes.

You May Also Read:

Deep Learning Training in Noida

Deep Learning Training in Delhi

Deep Learning Training in Gurgaon

Machine Learning Course in Visakhapatnam

Artificial Intelligence Course in Hyderabad

Databricks Classes in Delhi

Why Should You Learn Deep Learning?

Build advanced AI and neural network models

Work on computer vision and NLP applications

Master TensorFlow, Keras, and PyTorch frameworks

Solve real-world business and automation challenges

Boost your career in AI and data science

Access high-demand, high-paying global job roles

Not just learning

we train you to get hired.

Request more information

By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy

CURRICULUM & PROJECTS

Deep Learning Training Program

Overview of Text Mining

Need of Text Mining

Natural Language Processing (NLP) in Text Mining

Applications of Text Mining

OS Module

Reading, Writing to text and word files

Setting the NLTK Environment

Accessing the NLTK Corpora

Get full course syllabus in your inbox

Tokenization

Frequency Distribution

Different Types of Tokenizers

Bigrams, Trigrams & Ngrams

Stemming

Lemmatization

Stopwords

POS Tagging

Named Entity Recognition

Get full course syllabus in your inbox

Syntax Trees

Chunking

Chinking

Context Free Grammars (CFG)

Automating Text Paraphrasing

Get full course syllabus in your inbox

Machine Learning: Brush Up

Bag of Words

Count Vectorizer

Term Frequency (TF)

Inverse Document Frequency (IDF)

Get full course syllabus in your inbox

Introduction to TensorFlow 2.x

Installing TensorFlow 2.x

Defining Sequence model layers

Activation Function

Layer Types

Model Compilation

Model Optimizer

Model Loss Function

Model Training

Digit Classification using Simple Neural Network in TensorFlow 2.x

Improving the model

Adding Hidden Layer

Adding Dropout

Using Adam Optimizer

Get full course syllabus in your inbox

What is Deep Learning

Curse of Dimensionality

Machine Learning vs. Deep Learning

Use cases of Deep Learning

Human Brain vs. Neural Network

What is Perceptron

Learning Rate

Epoch

Batch Size

Activation Function

Single Layer Perceptron

Get full course syllabus in your inbox

What is NN

Types of NN

Creation of simple neural network using tensorflow

Get full course syllabus in your inbox

Image Classification Example

What is Convolution

Convolutional Layer Network

Convolutional Layer

Filtering

ReLU Layer

Pooling

Data Flattening

Fully Connected Layer

Predicting a cat or a dog

Saving and Loading a Model

Face Detection using OpenCV

Get full course syllabus in your inbox

Introduction to Vision

Importance of Image Processing

Image Processing Challenges – Interclass Variation, ViewPoint Variation, Illumination, Background Clutter, Occlusion & Number of Large Categories

Introduction to Image – Image Transformation, Image Processing Operations & Simple Point Operations

Noise Reduction – Moving Average & 2D Moving Average

Image Filtering – Linear & Gaussian Filtering

Disadvantage of Correlation Filter

Introduction to Convolution

Boundary Effects – Zero, Wrap, Clamp & Mirror

Image Sharpening

Template Matching

Edge Detection – Image filtering, Origin of Edges, Edges in images as Functions, Sobel Edge Detector

Effect of Noise

Laplacian Filter

Smoothing with Gaussian

LOG Filter – Blob Detection

Noise – Reduction using Salt & Pepper Noise using Gaussian Filter

Nonlinear Filters

Bilateral Filters

Canny Edge Detector - Non Maximum Suppression, Hysteresis Thresholding

Image Sampling & Interpolation – Image Sub Sampling, Image Aliasing, Nyquist Limit, Wagon Wheel Effect, Down Sampling with Gaussian Filter, Image Pyramid, Image Up Sampling

Image Interpolation – Nearest Neighbour Interpolation, Linear Interpolation, Bilinear Interpolation & Cubic Interpolation

Introduction to the dnn module

Deep Learning Deployment Toolkit

Use of DLDT with OpenCV4.0

OpenVINO Toolkit

Introduction

Model Optimization of pre-trained models

Inference Engine and Deployment process

Get full course syllabus in your inbox

Regional-CNN

Selective Search Algorithm

Bounding Box Regression

SVM in RCNN

Pre-trained Model

Model Accuracy

Model Inference Time

Model Size Comparison

Transfer Learning

Object Detection – Evaluation

mAP

IoU

RCNN – Speed Bottleneck

Fast R-CNN

RoI Pooling

Fast R-CNN – Speed Bottleneck

Faster R-CNN

Feature Pyramid Network (FPN)

Regional Proposal Network (RPN)

Mask R-CNN

Get full course syllabus in your inbox

Issues with Feed Forward Network

Recurrent Neural Network (RNN)

Architecture of RNN

Calculation in RNN

Backpropagation and Loss calculation

Applications of RNN

Vanishing Gradient

Exploding Gradient

What is GRU

Components of GRU

Update gate

Reset gate

Current memory content

Final memory at current time step

Get full course syllabus in your inbox

What is LSTM

Structure of LSTM

Forget Gate

Input Gate

Output Gate

LSTM architecture

Types of Sequence-Based Model

Sequence Prediction

Sequence Classification

Sequence Generation

Types of LSTM

Vanilla LSTM

Stacked LSTM

CNN LSTM

Bidirectional LSTM

How to increase the efficiency of the model

Backpropagation through time

Workflow of BPTT

Get full course syllabus in your inbox

What is Boltzmann Machine (BM)

Understanding Autoencoders

Architecture of Autoencoders

Brief on types of Autoencoders

Applications of Autoencoders

Get full course syllabus in your inbox

What is BERT

Brief on types of BERT

Applications of BERT

Get full course syllabus in your inbox

+ More Lessons

Course Design By

Nasscom & Wipro

Course Offered By

Croma Campus

Real

Stories

success

inspiration

Sachin Pal

career upgrade

Shadab Tyagi

career upgrade

Kumar Vaibhav

career upgrade

Mohit Kumar

career upgrade

SELF ASSESSMENT

Learn, Grow & Test your skill with Online Assessment Exam to
achieve your Certification Goals

Get exclusive
access to career resources
upon completion

Mock Session

You will get certificate after
completion of program

LMS Learning

You will get certificate after
completion of program

Career Support

You will get certificate after
completion of program

Showcase your Course Completion Certificate to Recruiters

Training Certificate is Govern By 12 Global Associations.
Training Certificate is Powered by “Wipro DICE ID”
Training Certificate is Powered by "Verifiable Skill Credentials"

in Collaboration with

Not Just Studying

We’re Doing Much More!

Empowering Learning Through Real Experiences and Innovation

Career Transition

Career Gap

Placement Activities

Placement Drives

Latest Hiring

Whats App Reviews

Mock Interviews

Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.

How Croma Campus Mock Interview Works? graph_new