Deep Learning Training in Gurgaon

5/5

Infibee Technologies offers India’s No.1 Deep Learning Training in Gurgaon with global certification and 100% placement guidance.

KickStart your career with our Deep Learning Course in Gurgaon with guided by 12+ years of industry-experienced experts, affordable course fees, real-time mock projects, resume preparation, interview preparation, placement training, and lifetime access to recorded sessions of live classes to ensure complete learning support. Our practical training approach helps students gain strong hands-on experience and confidence to work on real-world AI and machine learning projects.

Join our Deep Learning Training in Gurgaon and ignite your IT career future with high-paying jobs in top companies.

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

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Why People Choose Infibee ?

Upcoming Deep Learning Batches In Gurgaon

11-05-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
13-05-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
15-05-2026
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 Gurgaon

Join our Deep Learning Training in Gurgaon! 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 Gurgaon, 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 Gurgaon 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
Placement Designation
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 Gurgaon 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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