DEEP LEARNING Training Course in Hyderabad

4.5/5

Infibее offеrs India’s #1 DEEP LEARNING Training in Hydеrabad with industry-rеcognizеd cеrtification and assurеd 100% job placеmеnts. Dеsignеd by AI еxpеrts, our program blеnds thеory with intеnsivе hands-on practicе to еnsurе you’rе job-rеady from day onе. Lеarn to build nеural nеtworks, work on imagе and spееch rеcognition, NLP, and rеal-timе dееp lеarning applications using TеnsorFlow, Kеras, and PyTorch. With livе projеcts, rеsumе prеparation, mock intеrviеws, and guidancе from еxpеrt mеntors, our training is idеal for frеshеrs and profеssionals aiming to upskill in artificial intеlligеncе. At Infibее, wе bеliеvе in practical, outcomе-drivеn lеarning at affordablе fееs. Join thе most trustеd DEEP LEARNING Training Institutе in Hydеrabad and gain thе еxpеrtisе top tеch companiеs arе looking for. Whеthеr you’rе looking to switch carееrs or еnhancе your data sciеncе profilе, our DEEP LEARNING Coursе in Hydеrabad is your gatеway to a futurе in AI.

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25 hrs of E-Learning Videos
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Deep Learning Course in Hyderabad Overview

An industry-relevant Deep Learning Training is being provided at Infibee Technologies by considering the needs of aspirants in the field of AI and ML desperate to harness the power of artificial intelligence. The training shall provide the learner would-be with a complete understanding of deep learning, starting from fundamental concepts, including neural networks, backpropagation, CNNs, RNNs, LSTMs, and transformers. Training provided with real-time projects and industry mentors will help you in building, training, and deploying deep learning models using popular frameworks like TensorFlow and PyTorch.

The key objective of this Deep Learning Course in Hyderabad is to give the eager students and working professionals the necessary skills to look at complex problems in computer vision, NLP, and speech recognition. Regardless of being an engineering background or relocating from data science, the course gives you a strong grounding in state-of-the-art AI. Infibee intends to ensure you are just not learning but are also building a career through an industry-oriented curriculum, hands-on labs, and placement support. Join the best Deep Learning Training Institute in Hyderabad now and pave the way to an AI career of tomorrow!

Why Choose Infibee Technologies for Deep Learning Course in Hyderabad?

Key Highlights:

  • 100% Placement Support with Real-time Projects

  • Curriculum Aligned to Industry Demands

  • Hands-on Training in TensorFlow, Keras, PyTorch

  • Expert AI Trainers with 10+ Years of Experience

  • Resume Building + Mock Interviews

  • Flexible Batches – Weekday & Weekend

  • Affordable Fees & EMI Options

  • Top-rated Deep Learning Classes in Hyderabad

Best Deep Learning Training Institute in Hyderabad – Get Certified with Infibee Technologies

Infibee Technologies has been ranked as the leading Deep Learning Training Institute in Hyderabad imparting complete learning-theory as well as implementation-based. Since Infibee is the first choice for professionals to master deep learning, with over 1000+ students having been placed in top multinational companies, our focus includes everything from the basics of Neural Networks to advanced AI techniques such as GANs, Attention Models, and NLP Transformers for our Deep Learning Training in Hyderabad.

These training impart real-world experience, giving students exposure to use cases such as image classification, sentiment analysis, and autonomous systems. While for senior AI practitioners who also provide individual mentorship with doubt-chilling sessions from the inception of the course, a hands-on approach is encouraged, making use of Python, Jupyter, and several ML libraries. We provide career development services such as mock interviews, resume writing, and job referrals through our placement network. Our Deep Learning Classes in Hyderabad are taught from ultra-modern classrooms or virtually. Choose Infibee Technologies if you want a future-ready deep learning career and a certificate you can stand behind.

Global Certifications Available for Deep Learning Course in Hyderabad

S.No Certification Code Cost (INR) Certification Expiry
1 AI-900: Azure AI Fundamentals ₹4,800 Lifetime
2 TensorFlow Developer Certificate ₹8,000 3 Years
3 IBM AI Engineering Professional Certificate ₹21,000 3 Years
4 Deep Learning Specialization – Coursera (Andrew Ng) ₹6,000 Lifetime
5 AWS Certified Machine Learning – Specialty ₹15,000 3 Years

Benefits of Learning the Deep Learning Course in Hyderabad

  • Master real-world AI applications

  • Boost your resume with top certifications

  • Access high-paying career opportunities in AI & ML

  • Gain hands-on experience with TensorFlow, PyTorch

  • Become eligible for roles in robotics, healthcare, fintech, and more

  • Work on cutting-edge projects like image recognition, NLP, and autonomous driving

What You’ll Learn

  • Fundamentals of Neural Networks

  • Convolutional Neural Networks (CNNs)

  • Recurrent Neural Networks (RNNs) and LSTMs

  • Natural Language Processing with Deep Learning

  • GANs (Generative Adversarial Networks)

  • TensorFlow & PyTorch Deep Dive

  • Model Tuning, Deployment, and Optimization

Who Can Join?

  • Fresh graduates from B.Tech, B.Sc, M.Sc, BCA, or MCA

  • Working professionals in IT, Data Science, ML, and Python Development

  • Anyone interested in AI and intelligent systems

  • Researchers and academic professionals exploring modern AI applications

Career Opportunities in Deep Learning Course in Hyderabad

Career Level Job Role Salary Range (INR LPA)
Freshers (0–3 yrs) Deep Learning Engineer – Trainee 5–7 LPA
Junior AI Developer 6–8 LPA
NLP Research Assistant 6–9 LPA
Mid-Level (4–8 yrs) Deep Learning Engineer 10–15 LPA
AI Solutions Architect 12–18 LPA
Computer Vision Specialist 12–16 LPA
Senior (9+ yrs) Principal AI Scientist 18–25 LPA
Director – AI Engineering 25–35 LPA
AI Strategy Consultant 22–30 LPA
Specialized Roles AI Researcher – Healthcare 18–28 LPA
NLP Scientist 20–30 LPA
Autonomous Systems Developer 22–32 LPA

Who’s Hiring Deep Learning Professionals?

  • Google India

  • Amazon Web Services

  • Microsoft R&D

  • NVIDIA

  • TCS Innovation Labs

  • Infosys AI Division

  • Cognizant Digital AI

  • Wipro Holmes AI

  • IBM Research

  • Accenture AI & Automation

Enroll Today: Unlock Your Deep Learning Training in Hyderabad Potential!

Take the leap into the world of Artificial Intelligence with Infibee Technologies’ industry-ready Deep Learning Training in Hyderabad. Whether you are a beginner or a working professional, our cutting-edge Deep Learning Course in Hyderabad will help you become an expert in neural networks, NLP, and computer vision. Get trained by AI professionals, work on live projects, and land your dream job. Join Infibee’s top-rated Deep Learning Classes in Hyderabad and shape the AI-powered future. The best Deep Learning Training Institute in Hyderabad is just one enrollment away—book your seat today!

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Why People Choose Infibee ?

Upcoming Deep Learning Batches In Hyderabad

21-07-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-07-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
25-07-2025
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Deep Learning Course Syllabus in Hyderabad

Join our Deep Learning Training in Hyderabad! Our syllabus covers essential deep learning methodologies, automation tools, and advanced techniques. Our practical projects are led by industry experts, helping you to analyze deep learning processes effectively in this growing tech hub.

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types
  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview
  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Label
  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library
  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file
  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques
  • Central Tendency
  • Mean
  • Median
  • Mode
  • Skewness
  • Normal Distribution
  • Probability Basics
  • What does mean by probability?
  • Types of Probability
  • ODDS Ratio?
  • Standard Deviation
  • Data deviation & distribution
  • Variance
  • Bias variance Trade off
  • Underfitting
  • Overfitting
  • Distance metrics
  • Euclidean Distance
  • Manhattan Distance
  • Outlier analysis
  • What is an Outlier?
  • Inter Quartile Range
  • Box & whisker plot
  • Upper Whisker
  • Lower Whisker
  • Scatter plot
  • Cook’s Distance
  • Missing Value treatment
  • What is a NA?
  • Central Imputation
  • KNN imputation
  • Dummification
  • Correlation
  • Pearson correlation
  • Positive & Negative correlation
  • Classification
  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score
  • Regression
  • MSE
  • RMSE
  • MAPE
  • Supervised Learning
  • Linear Regression
  • Linear Equation
  • Slope
  • Intercept
  • R square value
  • Logistic regression
  • ODDS ratio
  • Probability of success
  • Probability of failure Bias Variance Tradeoff
  • ROC curve
  • Bias Variance Tradeoff
  • Unsupervised Learning
  • K-Means
  • K-Means ++
  • Hierarchical Clustering
  • SVM
  • Support Vectors
  • Hyperplanes
  • 2-D Case
  • Linear Hyperplane
  • SVM Kernal
  • Linear
  • Radial
  • polynomial
  • Other Machine Learning algorithms
  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest
  • AI Introduction
  • Perceptron
  • Multi-Layer perceptron
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications
  • CNN – Convolutional Neural Network
  • RNN – Recurrent Neural Network
  • ANN – Artificial Neural Network
  • Introduction to NLP
  • Text Pre-processing
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization
  • Text to Features (Feature Engineering)
  • Syntactical Parsing
  • Dependency Grammar
  • Part of Speech Tagging
  • Entity Parsing
  • Named Entity Recognition
  • Topic Modelling
  • N-Grams
  • TF – IDF
  • Frequency / Density Features
  • Word Embedding’s
  • Tasks of NLP
  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
  • Enhance report design
  • Add report objects to enhance design
  • Format data and report objects
  • Add a background image to a report
  • Add row numbers to a report
  • Create multi-lingual reports
  • Highlight exceptional data
  • Show and hide data
  • Conditionally render objects in reports
  • nalysis Studio Fundamentals
  • Nest Data in Crosstabs in Analysis Studio
  • Create Analysis with Multiple filter
  • Reusable analysis
  • Build Advanced Crosstabs in Analysis Studio
  • Focus with Filters in Analysis Studio
  • Creating reports from cubes
  • Drill down and drill up
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On Deep Learning Projects

Enroll in our Deep Learning course in Hyderabad, where our program is designed to provide comprehensive training with a strong foundation in neural networks and advanced AI techniques. Through exposure to real-world applications and hands-on projects, participants will develop the skills needed to build and deploy deep learning models effectively.

Recommendation Engine

Build a model that suggests products or content. Train it using user behavior and preferences data. Test its suggestions for relevance and accuracy.

Speech-to-Text Converter

Create a tool to convert spoken words into written text. Use audio recordings for training the model. Evaluate the tool's performance with various accents and languages.

Image Recognition System

Develop a system to identify objects in images. Train the model using a large dataset of labeled images. Test the system's accuracy in recognizing different objects.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
Our Instructor
Name
Mr. Gokul
Experience
9+ Years
Specialized in
TensorFlow, Keras, PyTorch
More Details
Gokul is one of Infibee's top-certified trainers in deep learning, with over 6 years of hands-on experience working alongside industry experts. He specializes in advanced neural networks, computer vision, natural language processing, and AI model deployment.

Deep Learning Course Training Objectives

Our Best Deep Learning Training in Hyderabad aims to equip participants with comprehensive skills and hands-on expertise in this domain. The course objectives focus on mastering fundamental and advanced concepts, applying knowledge through real-world projects, enhancing analytical thinking, and tackling complex AI challenges.

The average salary for a deep learning professional varies depending on experience, location, and role. On average, entry-level positions can earn around ₹6-10 LPA (INR), while experienced professionals in India may earn ₹15-30 LPA. In global markets, salaries can range from $80,000 to $150,000 per annum for mid-level professionals, and even higher for senior roles.

Some of the valuable certifications in deep learning include:

  • Deep Learning Specialization by Coursera (offered by Andrew Ng)
  • TensorFlow Developer Certification
  • Microsoft Certified: Azure AI Engineer Associate
  • IBM AI Engineering Professional Certificate These certifications help validate your skills and knowledge, making you more competitive in the job market.

A deep learning course typically covers the following topics:

  • Neural networks and deep learning fundamentals
  • Convolutional Neural Networks (CNNs) for image processing
  • Recurrent Neural Networks (RNNs) for sequence data
  • Generative Adversarial Networks (GANs)
  • Natural Language Processing (NLP) techniques
  • Frameworks like TensorFlow, Keras, and PyTorch

The prerequisites for learning deep learning include:

  • A strong foundation in mathematics, especially linear algebra, calculus, and probability
  • Proficiency in programming languages like Python
  • Understanding of machine learning concepts
  • Familiarity with data processing and analysis tools such as NumPy, Pandas, and Matplotlib

Deep learning offers significant career growth opportunities as AI adoption continues to rise. Professionals skilled in deep learning are in high demand across industries like healthcare, finance, autonomous systems, and e-commerce. With experience, one can progress into roles such as AI Researcher, Data Scientist, Machine Learning Engineer, or AI Architect.

 

Career opportunities in deep learning include:

  • AI/Deep Learning Engineer: Developing AI models and deploying them in real-world applications.
  • Data Scientist: Analyzing complex data and building predictive models.
  • AI Research Scientist: Working on cutting-edge research to push the boundaries of AI technology.
  • AI Consultant: Advising companies on AI strategies and implementations.

These roles often lead to high-impact positions in research institutions, tech companies, and innovative startups.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Deep Learning Career Opportunity

Deep Learning is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the Deep Learning certification can earn an average of 7 LPA per year.

Annual Pay Scale
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.
Muthu krishnan
I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
Pranali
I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.
Yuvaraj
The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.
Lavanya
I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.
Madhaiyan Madhan

Deep Learning Training FAQ's

Infibee Deep Learning Training In Hyderabad offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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