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Deep Learning Course In Noida
With Skillsup India

Want to advance your career in Deep Learning? Skillsup India offers a comprehensive Deep Learning Course in Noida, designed to equip you with the skills needed to master neural networks, AI-driven technologies, and cutting-edge machine learning techniques efficiently.

Why Choose Us?

  • Industry-Led Curriculum with Real-World Projects
  • 100% Placement Assistance with Top IT Companies
  • Live Mentorship & Personalized Learning Experience

Best Deep Learning Training Institute in Delhi & Best Deep Learning Training Course in Delhi

At SkillsUp India, the leading institute in Delhi, we provide an excellent gateway to mastering Deep Learning at your own pace.

Deep Learning continues to be a hot topic among skilled professionals and organizations focused on leveraging AI-driven solutions to drive business growth. A vast amount of data is an asset to any organization, but only when processed efficiently. The demand for advanced AI models has grown exponentially as industries embrace automation and intelligent systems.

Until a few years ago, the primary focus was on developing top-tier infrastructure to store vast amounts of data, which was later accessed and processed for business insights. With the advancement of AI frameworks like TensorFlow and PyTorch, the focus has now shifted towards training deep learning models. Let’s explore what deep learning is and how it fits into the current landscape of artificial intelligence and business applications.

Broadly, Deep Learning can be defined as the study of neural networks and AI models, where data is sourced, transformed, and optimized to derive meaningful insights and power intelligent solutions for various industries.

Why Learn Deep Learning?

  • • High demand for AI and ML professionals
  • • Build intelligent models for real-world applications
  • • Master frameworks like TensorFlow and PyTorch

What You’ll Learn

  • • Understand neural networks and deep learning fundamentals
  • • Implement CNNs, RNNs, and NLP models
  • • Apply AI techniques in real-world projects
Enroll Now

Why Enroll In Our Deep Learning Training Course In Delhi?

Deep Learning specialists embark on a journey to uncover hidden patterns within data—something that’s at the core of SkillsUp India’s Deep Learning training institute in Delhi. From automating tasks to making accurate predictions, deep learning applications are used across various domains like healthcare, finance, autonomous vehicles, and more.

Our Deep Learning training program will prepare you for job roles such as Deep Learning Engineer, AI Researcher, and Machine Learning Scientist. You’ll gain hands-on experience in Deep Learning frameworks such as TensorFlow and PyTorch, and work on real-world projects that help you build expertise in neural networks, computer vision, and natural language processing.

By the end of the course, you will have mastered key concepts like artificial neural networks, deep neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and various deep learning techniques using Python.

See Where SkillsUp India’s Students Work Today!

SkillsUp India has empowered countless students to secure top positions in leading AI and tech companies through its industry-aligned Deep Learning Course. With a strong focus on hands-on learning, real-world projects, and expert mentorship, our graduates gain the technical and analytical skills needed to excel in today’s competitive job market. The program is structured to provide a seamless learning experience, helping students build a strong portfolio that demonstrates their expertise in neural networks, TensorFlow, PyTorch, and AI-driven applications.

Our commitment to career success extends beyond training, offering personalized career guidance, resume building, and interview preparation to maximize placement opportunities. As a result, our students have successfully transitioned into high-demand deep learning and AI roles in both startups and multinational corporations. Whether you are a beginner or an experienced professional looking to upskill, SkillsUp India provides the perfect platform to accelerate your career and achieve your professional goals in the field of artificial intelligence and machine learning.

Purva

Uncodemy

Nargis

Vintraya

Preeti

NetScape

Aditya Singh

Deloitte

Babita

HCL

Abhilasha Rathi

Infosys

Arun Pal

Maruti

Neelam Nishad

Deloitte

Tanvi Singh

Deloitte

Babita

HCL

Our Partnership With

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Why should you Learn The Skillsup India Deep Learning Training Course in Delhi?

We focus on innovative ideas, high-quality training, smart classes, and 100% job assistance, ensuring that our students are industry-ready. Our Deep Learning graduates are working with top companies across India. At SkillsUp India, we offer the No.1 Deep Learning Training Course in Delhi with guaranteed placement support.

The curriculum of our Deep Learning Training Course in Delhi is designed as per global standards, ensuring that our students are well-prepared to meet industry demands not just in India but worldwide.

Deep Learning Training & Duration

Regular Track

  • Course Duration: 45-60 Days
  • Hours: 2 Hours a Day
  • Training Mode: Live Classroom

Weekend Track

  • Course Duration: 8 Weekends
  • Hours: 4 Hours a Day
  • Training Mode: Live Classroom

Choose the track that fits your schedule and start learning Deep Learning Technology at Skillsup India!

Deep Learning Training Course

₹20,000

2 Months

  • ✅ 24/7 Support
  • ✅ Live Classroom & Online Mode
  • ✅ Expert Trainers
  • ✅ Certification Provided

Machine Learning Course Curriculum Overview

What You’ll Learn in Our Machine Learning Course

Detailed Course Contents:

  • Why/What machine learning
  • Real time applications of machine learning
  • Data science project life cycle
  • Overview of data, tools and processes
  • Environment setup – Anaconda distribution setup
  • Basic data structures – List, Set, Tuple, Dictionary
  • Functions and loops
  • Object-oriented programming: classes & objects
  • Packages
  • Overview of python libraries (pandas, skelarn, keras, spacy, nltk,etc)
  • Directory and File management
  • Exception handling
  • Basic numpy and scipy operations
  • Pandas library and its functions

Detailed course contents:

  • Data collection
  • Analyzing data using pandas
  • Visualization techniques – matplotlib, seaborn and plotly
  • Scatter plot, bar plot, box plot, pie chart, heat map etc.
  • Data cleaning and transformations
  • Missing value handling
  • Outlier handling
  • Train/Valid/test split – random and stratified
  • Feature engineering

Detailed course contents:

  • Supervised learning– Regression, Classification
  • Unsupervised learning– Clustering, dimensionality reduction
  • Reinforcement learning
  • Simple linear regression
  • Assumptions of linear regression
  • Multiple Linear Regressions
  • Polynomial Regression
  • Evaluation- MSE, RMSE, correlation, R Squared, Adjusted R Squared
  • Bias- variance tradeoff
  • Use case of Linear regression
  • Practical exercises and projects applying Machine Learning concepts
  • Case studies of real-world Machine Learning implementations
  • Problem-solving and troubleshooting scenarios in Machine Learning
  • Decision trees
  • Ensemble models
  • Bagging – Random forest
  • Boosting – XGBoost, LightGBM, Catboost
  • Support vector machines SVM
  • Naïve bayes
  • KNN – K nearest neighbors
  • Evaluating all models with one use case
  • What is Feature
  • Feature Engineering
  • Feature Engineering Process
  • Benefit
  • Feature Engineering Techniques
  • Basics Of Probability
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Central Limit Theorem
  • Concepts Of Hypothesis Testing - I: Null And Alternate Hypothesis, Making A Decision, And Critical Value Method
  • Concepts Of Hypothesis Testing - II: P-Value Method And Types Of Errors
  • Industry Demonstration Of Hypothesis Testing: Two-Sample Mean And Proportion Test, A/B Testing
  • Simple Linear Regression
  • Simple Linear Regression In Python
  • Multiple Linear Regression
  • Multiple Linear Regression In Python
  • Industry Relevance Of Linear Regression
  • Univariate Logistic Regression
  • Multivariate Logistic Regression: Model
  • Building And Evaluation
  • Logistic Regression
  • Industry Applications
  • Data mining classifier technique
  • Application of KNN classifier
  • Lazy learner classifier
  • Altering hyperparameter(k) for better accuracy
  • Black box
  • SVM hyperplane
  • Max margin hyperplane
  • Kernel tricks for non-linear spaces
  • Rule based classification method
  • Different nodes for developing decision trees
  • Discretization
  • Entropy
  • Greedy approach
  • Information gain
  • Introduction to Databases
  • How to create a Database instance on Cloud?
  • Provision a Cloud hosted Database instance.
  • What is SQL?
  • Thinking About Your Data
  • Relational vs. Transactional Models ER Diagram
  • CREATE Table Statement and DROP tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement
  • Creating Temporary Tables
  • Adding Comments to SQL
  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR, and NOT
  • Using Wildcards in SQL
  • Sorting with ORDER BY
  • Math Operations
  • Aggregate Functions
  • Grouping Data with SQL
  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins
  • Aliases and Self Joins
  • Advanced Joins: Left, Right, and Full Outer Joins
  • Unions
  • Working with Text Strings
  • Working with Date and Time Strings
  • Date and Time Strings Examples
  • Case Statements
  • Views
  • Data Governance and Profiling
  • Using SQL for Data Science
  • How to access databases using Python?
  • Writing code using DB-API
  • Connecting to a database using DB API
  • Create Database Credentials
  • Connecting to a database instance
  • Creating tables, loading, inserting, data and querying data
  • Analysing data with Python
  • Input data & handling large spreadsheets
  • Tricks to get your work done faster
  • Automating data analysis (Excel VLOOKUP, IF Function, ROUND and more)
  • Transforming messy data into shape
  • Cleaning, Processing and Organizing large data
  • Spreadsheet design principles
  • Drop-down lists in Excel and adding data validation to the cells
  • Creating Charts & Interactive reports with Excel Pivot Tables, PivotCharts, Slicers and Timelines
  • Functions like: - COUNTIFS, COUNT, SUMIFS, AVERAGE and many more
  • Excel features: - Sort, Filter, Search & Replace, Go to Special, etc...
  • Importing and Transforming data (with Power Query)
  • Customize the Microsoft Excel interface
  • Formatting correctly for professional reports
  • Commenting on cells
  • Automate data entry with Autofill and Flash-fill
  • Writing Excel formulas & referencing to other workbooks/worksheets
  • Printing options
  • Charts beyond column and bar charts: - Pareto chart, Histogram, Treemap, Sunburst
  • Charts & more
  • Introduction to Data Visualization
  • Tableau Introduction and Tableau Architecture
  • Exploring Data using Tableau
  • Working with Data using Tableau including Data Extraction and Blending
  • Various Charts in Tableau (Basics to Advanced)
  • Sorting-Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
  • Filtering- Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters
  • Groups, Sets and Combined Sets
  • Reference Lines, Bands and Distribution
  • Parameters, Dynamic Parameters and Actions
  • Forecasting-Exponential Smoothing Techniques
  • Clustering
  • Calculated Fields in Tableau, Quick Tables
  • Tableau Mapping Features
  • Tableau Dashboards, Dashboards Action and Stories
  • Introduction to Power BI – Need, Importance
  • Power BI – Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop – Installation, Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Input data & handling large spreadsheets
  • Tricks to get your work done faster
  • Automating data analysis (Excel VLOOKUP, IF Function, ROUND, and more)
  • Transforming messy data into shape
  • Cleaning, Processing, and Organizing large data
  • Spreadsheet design principles
  • Drop-down lists in Excel and adding data validation to cells
  • Creating Charts & Interactive reports with Excel Pivot Tables, PivotCharts, Slicers, and Timelines
  • Functions like: COUNTIFS, COUNT, SUMIFS, AVERAGE, and many more
  • Excel features: Sort, Filter, Search & Replace, Go to Special, etc.
  • Importing and Transforming data (with Power Query)
  • Customize the Microsoft Excel interface
  • Formatting correctly for professional reports
  • Commenting on cells
  • Automating data entry with Autofill and Flash-fill
  • Writing Excel formulas & referencing other workbooks/worksheets
  • Printing options
  • Charts beyond column and bar charts: Pareto chart, Histogram, Treemap, Sunburst, and more
  • Introduction to Data Visualization
  • Tableau Introduction and Tableau Architecture
  • Exploring Data using Tableau
  • Working with Data using Tableau, including Data Extraction and Blending
  • Various Charts in Tableau (Basics to Advanced)
  • Sorting: Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
  • Filtering: Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters
  • Groups, Sets, and Combined Sets
  • Reference Lines, Bands, and Distribution
  • Parameters, Dynamic Parameters, and Actions
  • Forecasting: Exponential Smoothing Techniques
  • Clustering
  • Calculated Fields in Tableau, Quick Tables
  • Tableau Mapping Features
  • Tableau Dashboards, Dashboard Actions, and Stories
  • Introduction to Power BI – Need, Importance
  • Power BI – Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop – Installation, Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Report Design with Database Tables
  • Report Visuals, Fields, and UI Options
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations. Data Access
  • “GET DATA” Options and Report Fields, Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries

Tools and Technologies You'll Master

💼 Industry Projects - Gain Real-World Experience

Hands-on Learning with Real-World Projects

At SkillsUp India, we believe in learning by doing! Our Deep Learning projects provide learners with practical experience in building AI models, training neural networks, and solving real-world machine learning problems. These projects simulate real-world challenges, allowing learners to apply their knowledge and enhance their portfolios.

Image Classification Model
🖼 Image Classification Model

Train a deep learning model to classify images into different categories using CNNs.

  • Use Convolutional Neural Networks (CNNs) for image recognition.
  • Data augmentation for improved model accuracy.
  • Deploy model using TensorFlow or PyTorch.
🔬 TensorFlow 🔥 PyTorch 📊 NumPy 📈 Matplotlib
Sentiment Analysis
💬 Sentiment Analysis

Build an NLP-based model to analyze the sentiment of text data from social media or reviews.

  • Preprocess text data using NLP techniques.
  • Train an LSTM or Transformer-based model.
  • Visualize sentiment trends with data dashboards.
🤖 NLP 📚 Transformers 📝 NLTK 🔥 PyTorch
Object Detection System
📷 Object Detection System

Develop an object detection model using YOLO or Faster R-CNN to detect objects in images/videos.

  • Train a model on COCO or custom datasets.
  • Deploy object detection for real-time applications.
  • Optimize models for faster inference.
📸 OpenCV 🔬 TensorFlow 🔥 PyTorch 📊 YOLO
Handwritten Digit Recognition
✍ Handwritten Digit Recognition

Train a neural network to recognize handwritten digits using the MNIST dataset.

  • Use CNNs to classify digits with high accuracy.
  • Data augmentation for better generalization.
  • Deploy the model as a web app.
📈 Keras 🔥 PyTorch 📊 Scikit-learn 📄 Pandas
AI Chatbot
🤖 AI Chatbot

Develop a deep learning-powered chatbot using NLP techniques and transformers.

  • Train a chatbot using RNNs or Transformer models.
  • Integrate with APIs for real-time interactions.
  • Deploy the chatbot for web and mobile platforms.
💬 NLP 🔥 PyTorch 🤗 Transformers 🌍 Flask

Why Choose SkillsUp India’s Deep Learning Course in Noida?

SkillsUp India offers a comprehensive Deep Learning Course in Noida, designed to equip students with industry-relevant AI and machine learning skills. Our course emphasizes hands-on learning, real-world projects, and expert mentorship, helping you become proficient in Deep Learning. Here’s why you should choose our Deep Learning Course:

Image 1

Comprehensive Support

From mentorship to career guidance, we provide all the support you need to succeed in Deep Learning.

Image 2

Affordable Fees

Get quality AI and Deep Learning training at an affordable price with flexible payment options.

Image 3

Certification

Earn a globally recognized Deep Learning certification that validates your expertise in artificial intelligence and neural networks.

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Real-World Projects

Work on AI-driven projects like image recognition, natural language processing (NLP), and predictive analytics to gain hands-on experience.

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Industry-Relevant Curriculum

Our training material is constantly updated to reflect the latest trends and advancements in Deep Learning, including TensorFlow, PyTorch, and neural networks.

Image 6

Hands-On Learning

Gain practical experience by building AI models, training deep neural networks, and working on real-world machine learning applications.

Deep Learning Course

🚀 Want to become a highly skilled Deep Learning Engineer? Our Deep Learning Course in Noida is your gateway to a successful career in artificial intelligence and machine learning. Designed for beginners and professionals alike, this course covers everything from Neural Networks, TensorFlow, PyTorch, and NLP to CNNs, RNNs, and optimization techniques, making you job-ready for the most sought-after roles in the industry.

Our industry-aligned curriculum ensures you gain expertise in AI model building, data preprocessing, advanced neural architectures, and real-world AI applications. With a focus on practical projects, hands-on implementation, and career support, you will build intelligent models that meet industry standards.

💻 Build Real-World AI Applications with Modern Deep Learning Techniques

Learning by doing is the key to success! At SkillsUp India, we provide an interactive learning experience where students build real-world AI applications. You’ll work on live projects, develop deep neural networks, and implement advanced AI techniques, ensuring you're fully prepared for real-world AI challenges.

🎓 Get Certified & Stand Out in the AI Job Market

Upon successful completion, you’ll receive a globally recognized Deep Learning Certification, proving your expertise in artificial intelligence. Top tech companies and startups value AI engineers with practical skills, and our certification enhances your credibility for landing high-paying jobs worldwide.

🔥 Don’t just learn—become a Deep Learning Expert that companies want to hire! Enroll today and take the first step toward a successful career in AI and machine learning.

Comprehensive Support

📚 1:1 Mentorship & Support

Get **personalized mentorship** from industry experts and guidance on AI models, projects, and job readiness.

Affordable Fees

💰 Flexible & Affordable Fees

Access high-quality AI education at an **affordable cost** with **easy installment plans**.

Certification

🎓 Deep Learning Certification

Earn an **industry-recognized certification** that boosts your resume and helps you land top-tier AI jobs.

Real-World Projects

🚀 Hands-On Project Experience

Work on **live industry projects** like image classification, NLP applications, and AI-driven solutions to build a strong portfolio and gain hands-on experience.

Skillsup-India Helping Students to Ace Their Interviews:

One of the key benefits of enrolling in the Deep Learning Course at Skillsup India is our dedicated interview preparation assistance. We understand that securing a job in the competitive AI industry requires more than just technical knowledge. It’s essential to have strong problem-solving skills, a deep understanding of neural networks, and expertise in industry best practices.

At Skillsup-India, we help you:

Frequently Asked Questions