Certified AI & ML BlackBelt Plus Program

Power ahead in your AI & ML Career

  • 1:1 Mentorship with Guided Projects
  • Comprehensive & Personalized Learning Path
  • Dedicated Interview Preparation & Placement Support
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New Courses included in BlackBelt Plus

Advanced Python
Advanced Python and Software Engineering Fundamentals
 Mastering Apache Spark using Python
Mastering Apache Spark using Python
Deploying ML/DL Models
Deploying ML/DL Models
Download Course Details

How BlackBelt Plus prepares you for AI & ML Career?

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1:1 Mentorship with Guided Projects

  • Weekly Mentorship Calls
  • Work on Industry Projects under the guidance of experts
  • Get Personalized Recommendations
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Comprehensive & Personalised Learning Path

  • Cutting Edge Curriculum
  • Work on Real Life Projects
  • Personalised for your goals
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Prepares you for AI and ML Jobs

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

Succeed with 1:1 Personalised Mentorship

Succeed with Personalised Roadmap

Get a personalised roadmap to succeed in your AI & ML goals

1:1 Mentorship Calls with Guided Projects
  • Weekly Mentorship Calls
  • Work on 10+ Guided Projects with experts
  • 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 & Deep Learning Subjects
  • Ability to solve real world industry problems

The Ultimate Data Science Industry Conference

Be a part of 6+ full-day online AIConf and experience 50+ hours of live Industry conferences with the Experts!
Here's how a day at AIConf will look like...
live-session
Live Industry Sessions
  • Hear industry experts from different domains speak about applications and use cases around data science
  • Live Q&A
workshop
Hack Sessions
  • Multiple sessions to allow you to see the problem-solving approach by Industry experts
  • Live Q&A
industr-expert
Panel Discussions
  • Watch top AI Industry leaders, discuss the future of AI and ML in the invigorating panel discussion.
  • Live Q&A

Curriculum

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 Projects 3 Assignments

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

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

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

Loading datasets and establishing table relationships in PowerBI

Work with different type of charts and dashboards in PowerBI

Working with Map visualizations and other advanced charts with drill down functionalities in PowerBI

Working with power query for data manipulation in PowerBI

Writing DAX expressions in PowerBI

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

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

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

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

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

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

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

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

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

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

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

Overview of Python Basics

Documentation and Formatting

Testing and Debugging

Exception Handling and Assertions

Python Standard Libraries

Functional Programming

Object Oriented Programming

Working with Shell/Terminal Commands

Introduction to Version Control and Github

Connecting with DataBases

Introduction to Hadoop and Spark Ecosystem

Deep Dive into Spark Ecosystem

RDDs in Spark

DataFrames in Spark

Spark SQL

Data Wrangling with Spark

Jobs, Stages and Tasks in Spark

Advanced Programming in Spark

Machine Learning with Spark ML

Overview and aspects of Model Deployment

Deploying Machine Learning models using Streamlit

Introduction to Amazon Web services

Deploying and Machine Learning Deep Learning models using AWS

Understanding Amazon Sagemaker

Model Deployment using Sagemaker

APIs for Model deployment

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

Tools You will Master in AI & ML BlackBelt Plus

python
learn
powerbi
numpy
Spark
dask
featuretools-logo
Keras
pytorch
matplotlib
Rasa
Scikits
Pandas
MLBOX
amazon sagemaker
streamlit
aws
flask

Reinforce Your Learning with 10+ Guided Projects

Work on 50+ real world projects including 10+ guided projects with industry experts and mentors. Unlock your first guided project on your each course completion.
Movie Recommender System

Movie Recommender System

Learning Objectives:

-Learning user watching patterns to provide relevant suggestions
-Enhancing user experience for online streaming services

Business Solving Similar Problems:

Netflix, Amazon Prime, Voot

Guided Project
Auto Correct

Auto Correct

Learning Objectives:

-Learn to work and pre-process text data
-Building an end to end autocorrect model

Business Solving Similar Problems:

Search Engines, Messaging platforms

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Face Detection

Learning Objectives:

-Learn to detect faces from image Implementation of state of the art models like RetinaNet, YOLO

Business Solving Similar Problems:

Smart ATMs, User friendly check-ins at Airports

Guided Project
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WebTraffic Prediction

Learning Objectives:

-Learn working with Time Series Data
-Using Deep Learning models for time series forecasting

Business Solving Similar Problems:

Publishing and advertising processes of different websites

Industry Experts & Mentors

Kunal

Kunal Jain

Founder & CEO, Analytics Vidhya
Sunil

Sunil Ray

Chief Content Officer at Analytics Vidhya
Anand

Anand Mishra

Head Of Engineering at Analytics Vidhya
Pranav

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!

Amazing content, everything was started from scratch, worth investing your time and money in this course.

I am very much glad that I decided to choose this course from Analytics Vidhya. All the concepts are explained very beautifully and crisply. 100% recommended if you are a beginner and want to grab the concepts.

This course not only taught me how to step into the vast field of data science but also helped me develop an aptitude for it!

Kudos to Analytics Vidhya for creating a course that I wish existed many years ago. The structure and various methodologies used provides a roadmap of processes to communicate what you are thinking to solve a problem successfully. Each process is discussed in detail, providing checks and balances to follow, ensuring the best answer for that process. You get some hands-on assignments and then see how the processes flow in the roadmap to a first-rate deliverable. Best of all, you are solving a Data Science problem from start to finish solidifying the material and gaining experience. Final words about the course --- TAKE IT. YOU WON'T BE SORRY!!!

Its excellent course and has given me some input on what I was looking for. It is very well structured and has given me help to structure my thoughts for working on any AI ML problem. I am looking forward to using this structure in some real life practical problems.

I learnt quite a lot from the basics to advanced. Videos were well presented and not too long; clear, concise and to the point.

Content quality is clear and too good to understand, when compared to other course providers

All the concepts are explained very well. introduced to all the cutting-edge technologies in computer vision. greatly helped. Learned many new ways while attending interviews

This course has been immensely useful! It has helped to fill in the gaps in my existing knowledge of statistics and python programming. The instructions are crystal clear and easy to comprehend.

The course is taught methodically, pedagogically and integratively. My congratulations to the Analytics Vidhya team.

Start your journey to success with a personalised Roadmap

It will be personalised after your first mentorship call
roadmap
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    Start

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    Develop ML Skill

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    Develop Problem Solving Skill

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    Work on Hackathon & Projects

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    Develop Storytelling Skills

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    Build AI & ML Portfolio

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    Start Deep Learning Journey

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    Learn Natural Language Processings

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    Learn Computer Vision

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    Learn Advanced Python & Software Engineering

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    Deploy ML/DL models

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    Master Apache spark

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    BlackBekt Plus Certification

Program Fees

$850.00

(Inclusive of taxes )

1:1 Personalised Attention

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

Comprehensive Curriculum

  • 1000+ Learning Hours
  • Work on 25 + Real-world Project
  • Master 14+ 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 Earn Your Certificate
  • Achivment Share Your Achievement
ENROLL NOW
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 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.
These are all self-paced courses which you can take any time at your convenience over the next 18 months after your enrollment.
You will get information about all installations as part of the courses
The fee for this certified program is refundable within 7 days of your purchase. Kindly let us know your desire for refund by filling in this form. Upon refund, you would be un-enrolled from the courses and the entire amount will be refunded.
Yes! You will be given a certificate upon satisfactory completion of each course in this program.
You will be able to access the course material for eighteen months since the date of your enrollment.
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