Certified AI & ML BlackBelt+ Program

Power ahead in your AI & ML Career

  • 1:1 Mentorships with Industry Practitioners
  • Comprehensive & Personalised Learning Path
  • Dedicated Interview Preparation & Support
For Enquiries:

for-enqirey+91 8368808185

How BlackBelt+ prepares you for AI & ML Career?

icon

1:1 Mentorship with Industry Practitioners

  • 15+ 1:1 Mentorships
  • Get clarity on each and every concept
  • Get personalised recommendations
icon

Comprehensive & Personalised Learning Path

  • Cutting Edge Curriculum
  • Work on Real Life Projects
  • Personalised for your goals
icon

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

icon
1:1 Mentorship with Industry Practitioners
  • 15+ 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+ Certified?

BlackBelt+ 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 15+ Tools
  • Expertise in Data Science, Machine Learning & Deep Learning Subjects
  • Ability to solve real world industry problems

Curriculum

14+ 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

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

    Overall BlackBelt+ Course Stats:
  • 39+ Projects
  • 100+ Hours
  • 14+ Tools
  • 35+ Assignments
  • 18 Mentorship Sessions

Tools You will Master in AI & ML BlackBelt+

python
learn
numpy
Spark
dask
featuretools-logo
Keras
pytorch
matplotlib
Rasa
Scikits
Pandas
MLBOX

Reinforce Your learnings with 39+ 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.
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

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

img

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

img

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!

Start your journey to success with a personalised Roadmap

It will be personalised after your first mentorship call
roadmap
  • icon

    Start

  • icon

    Develop ML Skill

  • icon

    Develop Problem Solving Skill

  • icon

    Work on Hackathon & Projects

  • icon

    Develop Storytelling Skills

  • icon

    Build AI & ML Portfolio

  • icon

    Start Deep Learning Journey

  • icon

    Learn Natural Language Processings

  • icon

    Learn Computer Vision

  • icon

    BlackBekt+ Certification

Program Fees

$780.00

(Inclusive of taxes )

1:1 Personalised Attention

  • Personalised Success Roadmap
  • 12 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+ Certified By Analytics Vidhya Share your Achievement with the World

  • Earn-your-certificate Earn Your Certificate
  • Achivment Share Your Achievement
Certificate
moneyback

Money Back Guarantee!

BlackBelt+ 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.
whatsapp