Mastering Deep
for the

Online Computer Vision and Deep Learning Course
under the Certified AI & ML BlackBelt Plus Program

  • Learn Deep Learning from Basic to Advanced.
  • Take your Deep Learning Skills to the next level.
  • Perform Computer Vision Projects using Deep Learning.
  • Learn tools like Python, TensorFlow, Keras, PyTorch.
  • Deep Learning and Computer Vision Interview Preparation
  • Deep Learning Course that prepares you for the Industry.
For Enquiries:

+91 8368808185

Why learn Computer Vision and Deep Learning?

  • The overall Deep Learning industry is expected to reach USD 18.16 Billion by 2023. The advancements in Transformer Architecture in NLP and GANs in computer vision have taken deep learning to new heights.
  • With the internet generating about 2.5 quintillion bytes of data each day, Deep Learning is the right tool to handle this amount of data. Are you ready for this upcoming surge in Deep Learning?
  • Deep Learning powers almost all the advanced applications of the data science industry. Get access to a Deep Learning Course that will help you in Mastering advanced applications in the field of Computer Vision. Get your Deep Learning Online Training Course certification from Analytics Vidhya.

How Can You Excel in Deep Learning?

This comprehensive computer vision online course helps you to become a computer vision expert. The beauty of this program is that it assumes no prior knowledge of concepts. We start from the ground up by learning the basics of Python, statistics, core machine learning algorithms & fundamentals of Deep Learning. Once your base is rock solid, jump over to the Computer Vision using Deep Learning course. It is designed to give you a taste of how the underlying techniques work in current State-of-the-Art Computer Vision systems, and walks you through remarkable Computer Vision applications in a hands-on manner so that you can create such solutions on your own.

  • Object detection
  • Face detection
  • Image Classification
  • Image Segmentation
  • Image generation, and many others!

Certified AI & ML
BlackBelt Plus

Power ahead in your AI & ML Career
  • 1:1 Mentorships with Industry Practitioners
  • Comprehensive & Personalised Learning Path
  • Dedicated Interview Preparation & Support

How BlackBelt Plus prepares you for a Career in Deep Learning


Comprehensive & Personalised Python Learning Path

  • Cutting Edge Deep Learning Curriculum
  • Work on Real Life Deep Learning Projects using Python
  • Personalised for your goals

Prepares you for Jobs

  • Learn industry Relevant Computer Vision and Deep Learning Skills
  • Build your Profile
  • Resume and Interview Preparation

1:1 Mentorship with Industry Practitioners

  • 105+ Mentorships
  • Get clarity on each and every Deep Learning concept
  • Get personalised recommendations for career in Deep Learning

What will you learn in this Comprehensive Deep Learning and Computer Vision Course?

The Online Deep Learning training under the AI and ML Blackbelt Plus program will provide you with the knowledge of tools and techniques to master Deep Learning and Computer Vision. Furthermore, you will get to work on Computer Vision Projects using PyTorch, build NLP Projects like Voice Assistant using Deep Learning and more! Here’s what you will learn in the program -

  • Important concepts of Deep Learning
  • Activation Functions and Optimizers for Deep Learning
  • Deep Learning architectures (MLP, CNN, RNN and more)
  • Deep Learning Frameworks like Keras and PyTorch
  • Transfer Learning for Computer Vision
  • State-of-the-art Algorithms like YOLO, SSD, RCNN and more
  • Tuning hyperparameters of Neural Networks
  • Deep Learning models to tackle real-life problems
  • Get familiar with the world of Computer Vision
  • Transfer Learning for Computer Vision
  • State-of-the-art Algorithms like YOLO, SSD, RCNN and more
  • Sequence-to-Sequence Modeling
  • Deep Learning Model for Language translation in PyTorch
  • Transformers to perform transfer learning in NLP

Succeed with 1:1 Personalised Mentorship

Succeed with Personalised Roadmap

Get a personalised roadmap to succeed in your NLP career

1:1 Mentorship with Industry Practitioners
  • 75+ Mentorship calls
  • Rating - 4.92 / 5.00
  • Doubts and Queries - Technical
  • Industry Experienced Mentors
Assistance in Job Preparation

Mentors to guide you how to get your dream job

  • Resume & Interview Preparation
  • Profile Building - Linkedin , Github , Analytics Vidhya Community
  • 2 Mock Interviews

What does it mean to be BlackBelt Plus Certified?

BlackBelt Plus Certified Data Scientists can create cutting edge solutions and become pioneers in the space of Artificial Intelligence, pioneers who will develop AI Applications that will revolutionize life as we know it.

  • Mastery in 17+ Tools
  • Expertise in Data Science, Machine Learning, Natural Language Processing, Computer Vision & Deep Learning Subjects using Python.
  • Ability to solve real world industry problems

The Ultimate Data Science Industry Conference

Be a part of 8+ full-day online AIConf and experience 65+ hours of live Industry conferences with the Experts!
Here's how a day at AIConf will look like...
Live Industry Sessions
  • Hear industry experts from different domains speak about applications and use cases around data science
  • Live Q&A
Hack Sessions
  • Multiple sessions to allow you to see the problem-solving approach by Industry experts
  • Live Q&A
Panel Discussions
  • Watch top AI Industry leaders, discuss the future of AI and ML in the invigorating panel discussion.
  • Live Q&A


17+ Modules starting from basics like Excel to the most cutting edge techniques of Machine Learning, Deep Learning and NLP required by every data scientist

Data Science Tool Kit
2 Project 3 Assignment

Master Microsoft Excel

Explore Important Formulas and Functions

Create Charts and Visualizations using MS Excel

Get Familiar with MySQL

Creating and updating reports in SQL

Performing Data Analysis using SQL

Explore Python for Data Science

Important libraries and functions in Python

Reading file and manipulating data in python

Working with data frames, lists, and dictionary

Data Exploration and Statistical Inference
3 Project 4 Assignment

Use Matplotlib and Seaborn for data visualization

Creating charts to visualize data and generate insights

Univariate and Bivariate analysis using python

Perform Statistical Analysis on real-world datasets

Build and Validate Hypothesis using statistical tests

Generating useful insights from the data

Storytelling and Dashboarding
2 Project 9 Assignment

Importing and working with different kinds of data in Tableau

Build bubble charts, geo-location charts, and many others

Learn to create Dashboards in Tableau

Master storyboarding in Tableau

Learn to create engaging presentations

Perform feature engineering in Tableau

Become familiar with data manipulation in Tableau

Problem Formulation and Communication
0 Project 3 Assignment

Dealing with ambiguous business problems

Structure a business problem into a data science problem

Understanding the Machine Learning Lifecycle

Key Frameworks for each stage in ML Lifecycle

Present analysis and business insights in an impactful manner

Communicate ideas and insights to the stakeholders

Basic Machine Learning
4 Project 1 Assignment

Learn Important Machine Learning concepts

Perform data cleaning and Preprocessing

In-depth understanding of Basic ML models

Linear Models, Decision Tree, k-NN

Math Behind each Machine Learning Algorithm

Building Classification and Regression Models

Hyperparameter Tuning to improve model

Solving real-world business problems using Machine Learning

Feature Selection and Engineering
2 Project 0 Assignment

Learn the art of Feature engineering

Feature Generation from time-series data

Automated Feature Engineering Tool

Concept of dimensionality reduction

Feature Selection and Elimination Techniques

Detailed Understanding of Principal Component Analysis (PCA)

Concept of Factor Analysis

Advanced Machine Learning
4 Project 1 Assignment

Explore the Advanced ML concepts and Algorithms

Use Ensemble Learning Techniques (Stacking and Blending)

Understand and Implement Bagging and Boosting Algorithms

Learn to handle Text data and Image Data

Working with structured and unstructured data

Dealing with unsupervised learning problems

Clustering Algorithms including k-means and Hierarchical clustering

Deep Learning
5 Project 4 Assignment

Important concepts of Deep Learning

Working of Neural Network from Scratch

Activation Functions and Optimizers for Deep Learning

Understand Deep Learning architectures (MLP, CNN, RNN and more)

Explore Deep Learning Frameworks like Keras and PyTorch

Learn to tune the hyperparameters of Neural Networks

Build Deep Learning models to tackle real-life problems

Computer Vision using PyTorch
8 Project 4 Assignment

Get familiar with the world of Computer Vision

Transfer Learning for Computer Vision

Work with popular Deep Learning Framework - Pytorch

Learn State-of-the-art Algorithms like YOLO, SSD, RCNN and more

Work on different types of problems

Build Face Detection and Pose Detection Models

Advanced CV Problems like Image Segmentation and Image Generation

Understand how GANs work

Getting started with Natural Language Processing
7 Project 3 Assignment

Handling Text Data (Cleaning and Pre-processing)

Use Spacy, Rasa and Regex for exploring and processing text data

Information Extraction and Retrieval from text-based data

Understand Language Modelling

Learn Advanced Feature Engineering techniques

Build NLP models for Text Classification

Understand Topic modelling

Work on Industry Relevant Projects

NLP using Deep Learning
5 Project 2 Assignment

Understand the concept of Sequence-to-Sequence Modeling

Build a Deep Learning Model for Language translation in PyTorch

Learn to use Transformers library by Huggingface

Use Transformers to perform transfer learning in NLP

Build and Deploy your own chatbot

Learn to work with audio-based data

Build a voice assistant system using Deep Learning

Recommendation System
3 Project 1 Assignment

Recommender Systems in industry

Detailed Taxonomy of types of Recommender Systems

Collaborative Filtering Methods

Content-Based Recommender Systems

Knowledge-Based & Hybrid Recommender Systems

Market Basket Analysis & Association Rules

Evaluation of Recommender Systems

Build Book recommender System and other real-life projects

Time Series
3 Project 1 Assignment

Important concepts of Time Series Forecasting

Machine Learning techniques for Time Series forecasting

Validation techniques for Time series data

Framework to evaluate Time Series Models

Exponential Smoothing Methods for forecasting

Reading ACF and PACF plots

Tuning Parameters for ARIMA


Deep Learning for time series

Solve Real-world business problems

Career-oriented services and Data Science Interviews

Understanding the different roles in Data Science

Dos and Don'ts for Resume Building

Tips and strategies to build the perfect resume

Preparing for Data Science Interviews

Understanding the important skills required

How to build your digital Presence

Tips and Tricks to Ace Data Science Resume

List of Interview Questions for Data Science

    Overall BlackBelt Plus Stats:
  • 50+ Projects
  • 200+ Hours
  • 17+ Tools
  • 35+ Assignments
  • 105+ Mentorship Sessions

Tools You will Master in AI & ML BlackBelt Plus

Deep Learning Course Tools Keras
Deep Learning Course Tools PyTorch
Deep Learning Course Tools NumPy
Deep Learning Course Tools Python
Deep Learning Course Tools Pandas
Deep Learning Course Tools Scikit Learn

Reinforce Your learnings with 50+ projects

Doing projects is one of the most essential step to apply your learning and showcase in your resume.
Writing code is one thing but writing it efficiently, well that requires practice.
Deep Learning Course Projects Loan Eligibility Prediction

Loan Eligibility Prediction

Learning Objectives:

To automate the loan eligibility process (real time) based on customer detail provided while filling an online application form

Business Solving Similar Problems:

Banks: Automating the loan approval system

Deep Learning Course Projects Classify Emergency Vehicles from Non-Emergency Vehicles

Classify Emergency Vehicles from Non-Emergency Vehicles

Learning Objectives:

To classify the images of vehicles as either belonging to the emergency vehicle or non-emergency vehicle category

Business Solving Similar Problems:

Traffic Management Companies: Automating the traffic signals, Self Driving cars, etc.

Deep Learning Course Projects Build an Auto-Tagging System

Build an Auto-Tagging System

Learning Objectives:

Exploratory analysis of Stack Exchange questions and answers. Build Sequence models to predict the tags for the questions in the dataset.

Business Solving Similar Problems:

Community Forums: Assigning category tags to online posts such as stack exchange questions, product reviews, etc.

Deep Learning Course Projects Web Traffic Forecasting

Web Traffic Forecasting

Learning Objectives:

Work with Web Traffic Data Build Deep Learning models to forecast the number of sessions on a web portal.

Business Solving Similar Problems:

Website traffic forecasting

Industry Experts & Mentors

kunal jain

Kunal Jain

Founder & CEO, Analytics Vidhya
sunil ray

Sunil Ray

Chief Content Officer at Analytics Vidhya
anand mishra

Anand mishra

Head Of Engineering at Analytics Vidhya
pranav dar

Pranav Dar

Sr Editor & Data Scientist at Analytics Vidhya

Hear from our Students

Mentors are experienced in the industry that I work in and are helpful in highlighting trends and emphasised courses in the blackbelt that would be most useful for my upskilling/development

Liked the personalised approach and clear specific recommendations on improvement and future course of action for me. Excited to keep learning and growing with Analytics Vidhya! Thanks!

Start your journey to success with a personalised Roadmap

It will be personalised after your first mentorship call

Program Fees


(Inclusive of taxes )

1:1 Personalised Attention

  • Personalised Success Roadmap
  • 105+ Technical mentorship sessions
  • 3 Industry mentorship sessions
  • 3 mock interviews

Comprehensive Curriculum

  • 200+ Learning Hours
  • Work on 50+ Real-world Projects
  • Master 17+ Cutting Edge Tools

Go from Beginner to Master

  • No pre-requisites required
  • Work on NLP and Deep Learning Projects

Deep Learning Online Certification

Get Certified in Deep Learning
by Analytics Vidhya and take your Deep Learning skills for Computer Vision to the next level. Share your Achievement with the World

  • Earn Your Certificate
  • Share Your Achievement

Money Back Guarantee!

BlackBelt Plus program comes with 7 days no questions asked Money back Guarantee. If the program is bought in pre-launch offer or on discounted price, then the fee paid is non-refundable. For more T&C, click here

Frequently asked Questions

Top Questions

I want to learn and master Deep Learning. Is this program for me?
Yes. This course is for people who want to start their journey in Deep Learning as beginners and take their skills to the next level by mastering deep learning in the application of Computer Vision and Deep Learning. Some of the Deep Learning related courses in the AI and ML Blackbelt Plus program are - Deep Learning Computer Vision using PyTorch NLP using Deep Learning.
What are the job roles I can apply to after this program?
You can apply for various diverse roles available in the industry. Here are a few of them but not limited to - Deep Learning Engineer Data Scientist (Deep Learning) Machine Learning Engineer Deep Learning Software Engineer
Is this an online program or an offline course?
The AI and ML Blackbelt Plus program is an online certification program that makes you ready for the industry. In this online program, you get 1:1 mentorship sessions, personalized learning path and dedicated interview preparation and support.
What skills do I require to get a job in the Deep Learning domain?
The AI and ML Blackbelt Plus program consists of all the necessary modules that will help you land a job in the domain of Deep Learning. You need to have a hands-on experience in the following tools - Python Pandas NumPy TensorFlow Keras PyTorch
What is the average salary of a deep learning engineer?
According to Glassdoor, the average salary of a Deep Learning Engineer is a whopping 8 Lacs/year. The AI and ML Blackbelt Plus is the perfect program to land your dream job in the domain of Deep Learning.
When will the classes be held in these courses?
These are all self-paced courses which you can take any time at your convenience over the next 18 months after your enrollment.
Do I need to install any software before starting each cours
You will get information about all installations as part of the courses
What is the refund policy?
The fee for this certified program is refundable within 7 days of your purchase. Kindly let us know your desire for a refund by filling in this form. Upon refund, you would be unenrolled from the courses and the entire amount will be refunded.
Do I get a certificate of completion after finishing each course?
Yes! You will be given a certificate upon satisfactory completion of each course in this program.
How long can I access the program?
You will be able to access the course material for eighteen months since the date of your enrollment.
Who is this program for?
This program has been designed for all Deep Learning enthusiasts from all walks of life. We have curated all the content for each course in a way that’s easy-to-digest for people coming from a non-technical and non-data science background as well. You will get an introduction to deep learning and then advance into the complex topics and projects.
What is Deep Learning?
Deep Learning is a subfield of Machine Learning, inspired by the biological neurons of a brain, and translating that to artificial neural networks with representation learning. The applications of Deep Learning are endless ranging from computer vision to Speech Processing.
Is this program going to enhance my AI and Deep Learning Skills?
Yes! This program helps you get access to the world of deep learning and computer vision concepts including all the latest tools and techniques. You also get access to a number of projects that will help you learn deep learning and computer vision hands on.
Will I learn anything apart from computer vision and deep learning?
Yes, Ofcourse! You will not just be learning deep learning and computer vision with Python but also learn machine learning, data analytics and business analytics. In this comprehensive course you get to learn computer vision along with machine learning, getting the best of both worlds! The AI and ML Blackbelt Plus Program includes one of the best deep learning and computer vision courses in the industry.
What tools are covered in the deep learning course content?
In the AI and ML Blackbelt Plus Program, you get access to learn all latest tools that are being utilized in the industry like - PyTorch Keras Tensorflow NumPy And many more!