Certificate Program in

Artificial Intelligence and Machine Learning

Eligibility

Bachelor’s degree

Application deadline

To be announced

About this program

Case-based learning with 5+ mini projects tied into the program

Python, PyTorch, NumPy, Matplotlib, and Seaborn are the essential tools covered

7+ Industry projects and case studies

Our recipe for your success

Batch starts

Coming Soon

Duration

11 months

Total effort

654+ hrs

Case-based learning with 5+ mini projects tied into the program

Python, PyTorch, NumPy, Matplotlib, and Seaborn are the essential tools covered

7+ Industry projects and case studies

Experience the difference with live learning

Real time engagement withlive classes

Learn at your pace, on your schedule

Enhanced outcomes through more than 80% live and experiential learning

Our holistic learning philosophy

Live learning

Interactive classes with industry experts for hands-on learning

Case studies

Real-world tasks to solidify knowledge and prep for industry challenges.

1:1 counselling

Personalized mentorship for career navigation and professional decisions.

Seasoned faculty

Guidance from leading industry experts to ensure top-tier learning.

Capstone projects

Final projects that blend learning with real impact in your field.

Doubt clearing sessions

Targeted sessions to ensure clarity and readiness for next steps.

Curriculum

Python Programming

Installation and Set-up
Python Basics - Syntactics,Variable Types, Operators
Functions - Built-in, Library and Custom, Arguments
Data Structures and Operations: Lists, Tuple
Data Structures and Operations: Dictionaries
For/While Loops, Conditional Statements
Nested Loops and Nested Conditions
File Handling - I/O functions, open() read, write, append , with
Handling json and xml files and using csv module

Git and Version Control

Doing version control on local sytem, branching, creating remote repository on github, working collaboratively on github, raising PR, merging PR

Data Analysis using Pandas & Numpy

Introduction to Pandas and Numpy Modules
Pandas Basics - Data File Handling, Row/Columns Handling, Slicing, Drop, Sort, New Variable Creation, Observing Frequency Count
Pandas Advanced: Multiple Datasets Handling, Merge/Append, Multivariable Groupby/Crosstab Summaries
Working with Datetime Data and Time Series Data
Working with Indexes and Multi-level Indexing

Data Visualization

Importance of Visualizing Data through Charts
Types of Charts and their Best Uses
Basics of Visualization in Python Using Matplotlib and Seaborn:
Components of a Plot, Subplots, Functionalities of a Plot
Plotting Data Distributions,Univariate distributions

SQL Foundations

Databases - Schema, Table, Relations.
Basics of SQL, SQL commands - SELECT, FROM, WHERE, AND, OR, NOT, Pattern matching, sorting, Orderby, Comments and Operators
Group by, aggregate functions (MIN,MAX,SUM,AVERAGE,COUNT), having CRUD operations: Create and Drop Data bases, Create and Drop TablesConstraints (Primary key, Foreign Key, Unique key, Not Null, Default and CHECK)
Joins (inner/left/right/full)
Nested Queries
Windows Analytical Functions (Aggregate, Ranking, and Windows Analytical Functions)
Speed up Queries Using Indexes
In this module, learners will explore the different frameworks to create the business model for the product.
Various Types of Indexes

EDA

Doing sanity checks on data
Finding relationship between continous variables
Finding relationship between categorical variables
Finding relationship between a categorical and continous variable

Prob Dist: Binomial, Poisson

Identifying scenarios where a binomial or a poisson distribution can be used
Enumerating the values that a random variable can take
Computing probability mass using binomial or poisson distribution

Intro to Hypothesis testing

Be able to formulate correct form of null and alternate hypothesis when underlying random variable is binomial or poisson
Be able to arrive at the correct formulation of p-value
Be able to use CLT to tackle scenarios involving large sample means

ANOVA

Be able to correctly identify where to use ANOVA, 2 sample t test or chi square test of factor association.
Be able to formulate correct null and alternate hypothesis for each of the tests
Be able to arrive at a business decision once the test has been done

Predictive Modelling Overview

Undertand the idea of predictor variables and target variables.
Outline how a trained model is to be validated
Identify regression, classification and clustering tasks

Linear Regression

OLS Regression Model
Predicting continuous variable
Using Gradient Descent for Linear Regression, Model evaluation using loss functions, RMSE, R-Square, Stochastic Gradient Descent

Logistic Regression

Predicting a binary variable, interpreting model output, using Python to create a logistic model – using statistics and machine learning methods
Checking model diagnostics
Concept of Confusion Matrix and Computing Accuracy Metrics, ROC, AUC, doing kfold cross validation

Tree Based Ensembles

Decision Trees
Checking model diagnostics
Bagging and Boosting Techniques
Random Forest
OOB
Hyperparameter tuning using GridSearch

K-Means Clustering

Introduction to clustering
Distance norms
K-means clustering, Elbow method, Silhouette Score, Profiling

Classical NLP

Tfidf featurization and text classification
Using spacy to handle classical tasks such as lemmatization, pos tagging, dependency parsing
Building topic models and discovering key-terms

Deploying Models and Creating a model pipeline

Building a model training pipeline.
Building model as an api service.

Introduction to Deep Learning

Introduction to Neural Networks: Introduction to Neuron, Activation functions - sigmoid, tanh, relu, etc Loss functions - cross-entropy loss, MSE, etc Optimization Techniques - Gradient Descent, Batch Gradient, Mini-batch Gradient and Stochastic Gradient etc. Building simple MLP using numpy

Deep Learning using Pytorch

Building datasets and dataloaders
Defining custom models
Using early stopping and logging
Using different types of optimizers

Deep learning for NLP Tasks

Word vectors and embedding layers
Sequential Processing using RNN and LSTM Layers
Attention mechanism and encoder-decoder architecture
Using hugging face to build bert based models

Unlock valuable insights

5-star rating by 97% of students.

Discover the outcomes of the program.

Explore the custom-curated learning path.

Launch projects, leap forward

Environmental analysis

Examine environmental data, encompassing metrics such as air or water quality, to comprehend the influence of human activities on our surroundings and pinpoint areas requiring enhancement and mitigation efforts.

E-Commerce Website

Interrogate data derived from e-commerce platforms, including sales trajectories, customer behavior patterns, and product popularity, with the objective of identifying potential avenues for refinement and optimization.

Financial analysis

Analyze financial data, such as stock prices and investment portfolios, to identify trends and patterns that can inform investment decisions.

In collaboration with

National Skill Development Corporation

NSDC has trained over 5.2 million students, leveraging a vast network of partnerships.

Participates in WorldSkills to showcase and enhance the international standards of Indian skills.

Collaborates with global tech leaders like Google and Microsoft to advance digital skills training.

Get certified

Leveraging Snapchat's expertise in pioneering augmented reality technologies and Unreal Engine's leadership in immersive virtual experiences, this certificate sets you apart in extended reality.

* Certificates are indicative and subject to change

Our faculty, your mentors

Soumita Mukherjee

Faculty, Hero Vired | 14+ years of corporate experience

Soumita Mukherjee, a marketing and management expert with 15+ years in FMCG, has worked at Amazon, HUL, Pidilite, and Raymond. With an MBA from Goa Institute of Management and a Bachelor's from NIFT Mumbai, she's now a faculty at Hero Vired. Specializing in CRM, branding, product management, and go-to-market strategies, Soumita excels in category management, sales strategy, and driving successful brand growth through new product nurturing.

Education

MBA from Goa Institute of Management and a Bachelor's in Design from NIFT Mumbai

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Ben Campose

Director, Act Global Trainers India | 30+ years of experience

Ben has over 30 years of coaching experience in Sales, Leadership and professional development across industries.

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Rajiv Bajaj

Faculty, Hero Vired | 27+ years of experience

Rajiv Bajaj is the Executive Director of Business Development (Asia) at Liberty House Group since October 2017. He has extensive experience in strategy, operations, growth, restructuring, turnaround, M&A, and change management. Previously, he was CEO at Nomura Research, Principal at Roland Berger, MD at Hollingsworth & Vose, and ED at Rico Auto Industries.

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Start your learning journey, today

Application Submission

Begin your journey by completing your form

Screening

Connect with our LCs for the perfect program fit

Time to get Vired

Goodies collection

Get your learning materials and Vired goodies

Get engaged

Start free courses and activities

Batch orientation

Meet your tribe and set goals

Graduation

Become an HV star with continued support beyond graduation

Certificate Program in

Artificial Intelligence and Machine Learning

EMI Starts at

₹3,565 / month

Price: ₹1,25,000 + GST

What you will get:

Case-based learning with 5+ mini projects tied into the program

Python, PyTorch, NumPy, Matplotlib, and Seaborn are the essential tools covered

7+ Industry projects and case studies

Duration

11 Months

Apply by

To be announced

Frequently Asked Questions

What is Artificial Intelligence and Machine Learning course all about?

An AI & ML course focuses on teaching you the different concepts and technologies associated with the field. An artificial intelligence and machine learning program will cover tools like Pandas, NumPy, Seaborn, Git, PyTorch, and more.

Why AI and Machine Learning Course?

An artificial intelligence and machine learning program can help you develop skills and knowledge to stay relevant in the industry. It will prepare you for high-paying roles like computer vision engineer, AI engineer, machine learning engineer, and more.

What will you learn in the Artificial Intelligence & Machine Learning Course?

The artificial intelligence and machine learning course will teach you to work with Python, Pandas, Git, NumPy, Seaborn and more to design technologies for the future. You will receive knowledge about different concepts like data visualization, SQL foundations, predictive modelling, and more.

Hero Vired is a leading LearnTech company dedicated to offering cutting-edge programs in collaboration with top-tier global institutions. As part of the esteemed Hero Group, we are committed to revolutionizing the skill development landscape in India. Our programs, delivered by industry experts, are designed to empower professionals and students with the skills they need to thrive in today’s competitive job market.