Certified AI & ML
BlackBelt Plus
Program

The Path to Become a Full Stack Data Scientist

  • 1:1 Mentorship with Guided Projects
  • Comprehensive & Personalized Learning Path
  • Dedicated Tools and Resources for AI & ML Jobs
For Enquiries:

+91 8368808185

Tools & Languages You will Master in AI & ML BlackBelt Plus

Data Science Tools Python
Data Science Tools Pandas
Data Science Tools Matplotlib
Data Science Tools Numpy
Data Science Tools Seaborn
Learn AWS - Amazon Web Services
Keras - Data Science Tool
Pytorch - Data Science Tool
Scikitlearn
Power BI - Data Science Tool
Spacy - Data Science Tool
Excel - Spreadsheet
Regex - Data Science Tool
Flask - Data Science Tool
Streamlit - Data Science Tool
Amazon Sagemaker
Dask - Data Science Tool

How BlackBelt Plus prepares you for Successful AI & ML Career?

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1:1 Mentorship with Guided Projects

  • Weekly Mentorship Calls
  • Work on 10+ Guided Projects with experts
  • Get Personalized Roadmap
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Upskilling in Python, Deep Learning, Computer Vision, NLP, ML & AI

  • Learn Cutting Edge Tools
  • Learn Deep Learning with Computer Vision
  • Learn Python and Natural Language Processing
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Prepares you for Data Science Jobs

  • Learn industry Relevant Data Science Skills
  • Build your Digital Profile
  • Resume and Interview Preparation

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

Detailed Curriculum

17+ Courses 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

ARIMA and SARIMA Model

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
  • 150+ Hours
  • 17+ Tools
  • 35+ Assignments
  • 75+ Mentorship Sessions

Reinforce Your learnings with 50+ projects

Work on 50+ real world projects including 10+ guided projects with industry experts and mentors. Unlock your first guided project after selected course completion.
Data Science Projects NYC Taxi Trip Duration Prediction

NYC Taxi Trip Duration Prediction

Learning Objectives:

Understand the importance of Data Exploration , Learn the power of Feature Engineering to improve your models.

Business Solving Similar Problems:

Uber, Lyft, Ola

Data Science Projects Customer Churn Prediction -

Customer Churn Prediction -

Learning Objectives:

Perform Data Exploration to understand relationship between variables , Learn to implement Machine Learning Models

Business Solving Similar Problems:

Various Banking Institutions

Data Science Projects Webpage Classification

Webpage Classification

Learning Objectives:

Working with Text Data Cleaning and Preprocessing text corpus Implementing ML Models for text classification

Business Solving Similar Problems:

Various Banking Institutions

Data Science Projects Malaria Detection from blood cell Images

Malaria Detection from blood cell Images

Learning Objectives:

Working with Image Data Implementing Deep Learning Models for Image Classification

Business Solving Similar Problems:

Healthcare Industry

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
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Program Fees

$850

(Inclusive of taxes )

1:1 Personalised Attention

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

Comprehensive Curriculum

  • 150+ 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

Certificate

Get BlackBelt Plus Certified
By Analytics Vidhya Share your Achievement with the World

  • Earn Your Certificate
  • Share Your Achievement
Certificate
moneyback

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

Who is this program for?
This program has been designed for all Python and Data Science 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.
I want to learn and master Data Science. Is this program for me?
Yes. This course is for people who want to start their journey in Data Science and take their skills to the next level. You’ll not just be learning Data Science but also the application of data science in the industry.
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 - Data Scientist Data Analyst Machine Learning Engineer Deep Learning Engineer
What skills do I require to get a job in the Data Science domain?
The AI and ML Blackbelt Plus program consists of all the necessary modules that will help you land a job in the data science domain. You need to have a hands-on experience in the following tools - Python Pandas NumPy Matplotlib Seaborn Scikit-learn
Why Python and how popular is it for Data Science?
Python has rapidly become the go-to language in the data science space and is among the first things recruiters search for in a data scientist's skill set. It consistently ranks top in global data science surveys and its widespread popularity will only keep on increasing in the coming years. Over the years, with strong community support, this language has obtained a dedicated library for data analysis and predictive modelling.
What does a Data Scientist do?
Data Science is an amalgamation of Statistics, Computer Science and specific domain knowledge. As more and more data gets generated across the world, we need to leverage it to make decisions and improve them. A data scientist performs operations on the data provided to analyze and interpret it.
How much Python do I need to know to enter Data Science?
Though Python has hundreds of libraries and many more functionalities, you don’t need to know all of them for learning Data Science Rather than becoming an expert in the entire language, you would need to just be acquainted with the basic syntax of Python. We will also cover the most popular libraries used by Data Scientists and which you would be using too as a future Data Scientist!
What are the most popular open-source libraries that are used by Data Scientists?
pandas, numpy, scipy, matlplotlib, seaborn are used for Data Science and Data Analysis scikit-learn, tensorflow, keras are used for basic and advanced machine learning libraries for deep learning like OpenCV(Computer Vision), NLTK(Natural Language Processing)
What is the average salary of a data scientist?
According to Glassdoor, the average salary of a beginner data scientist is a whopping 10 Lacs/year. The AI and ML Blackbelt Plus is the perfect program to land your dream job in the domain of Python and Data Science.
Is this an online data science program?
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. We don’t provide any physical classroom training in various cities like Delhi, Gurgaon, Pune, Bangalore, Chennai etc.
Can I become a certified data scientist by taking this course?
Yes, you can. This program has been designed for all Data Science enthusiasts from all walks of life. We have about 50+ projects and 36+ assignments in this course to let you be a full fledged data science professional. 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. This course is for everyone who wants to become a data scientist.
Does the program consist of Industry courses?
Yes! The AI and ML Blackbelt Plus program consists of over 50+ industry projects which will help you immensely in resume building. With this data science course you get access to project training in Python, Data Science, Machine Learning, and Deep Learning. These projects are suitable for students as well experienced professionals.
Is this an online program or an offline course?
The AI and ML Blackbelt Plus program is an online data science 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.
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