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Placement Assurance
Accelerator Program in
Artificial Intelligence and Machine Learning
Powered by
Placement Assurance with a minimum of 8-10 job opportunities
Case-based learning with 5+ mini projects tied into the program
Python, PyTorch, NumPy, Matplotlib, and Seaborn are the essential tools covered
Apply now
Download Brochure
5,00,000+ Developer jobs in India. You can be one of them
Our Learner Success Team will ensure to get you the right skills you need to become a
Data Scientist
3787+ Jobs
Machine Learning Specialist
1562+ Jobs
Machine Learning Engineer
2478+ Jobs
AI Engineer
2435+ Jobs
Computer Vision Engineer
Computer Vision Engineer
NLP Engineer
1644+ Jobs
Data sourced from Linkedin
Average Salary Range
6 Lakhs to 40 Lakhs
1 july 2023
Next Cohort Starts
11 months
Duration
Bachelor’s degree
Eligibility
31 May 2023
Application Deadline
Custom curated international curriculum
Upon successful completion of this Artificial Intelligence and Machine Learning program, you will receive the following:
Live Online Duration
222
Hours
Total Effort Required
654
Hours
Total Weekly Effort
14
Hours
Tools Covered
Syllabus
Program Brochure
For detailed curriculum and program structure, download the program brochure
Download Brochure
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
For/While Loops, Conditional Statements
Data Structures and Operations: Dictionaries
Nested Loops and Nested Conditions
File Handling - I/O functions, open() read, write, append , with
Handling json and xml files and using csv module
Object Oriented Approach to Programming
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
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 Image Recognition and Object Detection
CNNs as feature extractors
Resnets and features extraction for Transfer Learning
Using early stopping and logging
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
Get the Hero Vired Advantage
Live Interactive lectures
100% Program Completion Rate
Lifetime Placement Assistance
Small batch sizes for focused teaching
Others
Pre recorded Lectures
Low completion rate
No personalized Placement support
No limit on batch sizes
Industry Leading Faculty
Learn from world-class faculty that will guide you through this certification program
Abhaya Agrawal
MCA, PGDBM (NMIMS), PMP | 22 years of Experience
Seasoned professional with vast experience in R programming, SAS, Unix Shell scripting, PERL, Machine learning and Deep learning.
Kartik Mudaliar
MS, Computer Science | 7+ years of experience
Corporate trainer with Industry leading organizations in Data Science, Python and Databases. Specializes in Artificial Intelligence, Python, and Machine Learning.
Shilpi Taneja
MCA, Computer Science | 16+ years of experience
Seasoned professional with hands on experience in Data Science, Data Analytics, and Data Mining. Has worked in academia for over 12 years.
Rupal Bhargava
Ph.D. Computer Science | 7+ years of experience
She has a vast experience of research and mentoring. Broadly, her research interests lie at the intersection of Natural Language Processing and Machine Learning.
Manoj Agarwal
Ph.D. Computer Science | 17+ years of experience
An expert in designing solutions using machine learning techniques. Specializes in multi-objective optimization techniques and evolutionary computations.
Gunnvant Singh Saini
B.S. in Economics | 10+ years of experience
Specializes in Data Analysis, Creating Scalable Data Services, and Technical Curriculum Design. Has trained several professionals in India and abroad.
Partnered with leading universities and organizations
Integrated With
National Skill Development Corporation
Experience a holistic learning path
Get hands-on learning experience by working on real-world projects from some of the most innovative businesses across the world. A list of our sample projects can be found below.
Environmental analysis
Analyze environmental data, such as air or water quality measurements, to understand the impact of human activities on the environment and identify areas for improvement
E-Commerce Website
Analyze data from an e-commerce website, such as sales trends, customer behavior, and product popularity, to identify areas for improvement and optimization
Financial analysis
Analyze financial data, such as stock prices and investment portfolios, to identify trends and patterns that can inform investment decisions.
Sports analytics
Analyze sports data, such as game scores, player statistics, and team performance, to identify patterns and insights that can be used to improve performance.
Public health analysis
Analyze public health data to understand trends and patterns related to a particular disease or health issue, such as COVID-19 or obesity rates.
Social media analysis
Collect and analyze data from social media platforms, such as Twitter or Instagram, to understand trends and sentiment related to a specific topic or brand..
Marketing analysis
Analyze a company's marketing strategy and performance by collecting and analyzing data on customer behavior, sales trends, and advertising campaigns.
Get certified after you graduate from the program
Upon successful completion of this Artificial Intelligence and Machine Learning program, you will receive the following:
Hero Vired Certificate
Benefit from the Hero Group’s decades of research and understanding of the Indian education and job landscape.
* Certificates are indicative and subject to change
Personalized placement services to help you with your career goals
1:1 career coaching
Just-in-time interview preparation
Guaranteed job opportunities
Application Process
A simple yet thorough application process that will help you learn key skills to supercharge your career
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Step 1
Submit Application
Fill the form, review it, and submit your application. A fully completed application helps us assess your learning goals and enrol you into the program.
Step 2
Receive the offer letter
You will receive an offer letter to enrol, along with the complete details of the program, fee and payment schedule, etc.
Step 3
Block your seat
Pay a nominal amount to confirm your acceptance and block your seat.
*This is subject to any defined individual program eligibility, criteria and test that may be included as part of the enrolment process.
Upskill yourself with Hero Vired
70% to 90% Live Instructor-led Classes
Gamified & Interactive Learning
Discussion Forums and Community
Industry Projects & Case Studies
Practical Hands-on Learning Session
Career Assistance and Workshops
Personalized Placement Assistance
Artificial Intelligence and Machine Learning
Part-time
Starting at
₹7,545/month
Price:₹₹3,00,000+ GST
Start Application
Application Deadline:31 May 2023
Apply early to secure your seat
Frequently Asked Questions
Program Related
What is Artificial Intelligence and Machine Learning course all about?
Why AI and Machine Learning Course?
What will you learn in the Artificial Intelligence & Machine Learning Course?
What should I expect from the Certificate Program in Artificial Intelligence and Machine Learning?
What is the program structure for AI and Machine Learning Programs?
What is the demand for Artificial and Machine Learning professionals in the current market?
Who can take the Artificial Intelligence and Machine learning Course?
Would the content be available to me after completion of the course?
What Skills will you gain in Artificial Intelligence & Machine Learning Course?
How will this AI & Machine Learning Certification Course with a certificate help me progress in my career?
What are the projects included in the AI and Machine learning course?
What is the placement assurance after the successful completion of the program?
What topics will be covered in the Artificial Intelligence and Machine Learning course?
The topics covered in the AI and ML course offered by Hero Vired are as follows:
- Python Programming
- Git and Version Control
- Data Analysis using Pandas & Numpy
- Data Visualisation
- SQL Foundations
- EDA
- Prob Dist: Binomial, Poisson
- Intro to Hypothesis testing
- ANOVA
- Predictive Modelling Overview
- Linear Regression
- Logistic Regression
- Tree Based Ensembles
- K-Means Clustering
- Classical NLP
- Deploying Models and Creating a model pipeline
- Introduction to Deep Learning
- Deep Learning using Pytorch
- Deep Learning for Image Recognition and Object Detection
- Deep Learning for NLP Tasks
How is the Hero vired learning experience different from other platforms?
Who will be the faculty to take classes?
Time Commitment
What is the time commitment expected for the programme?
Admission Criteria
How can I apply for this course at Hero Vired?
The different steps to apply for the AI & ML program are as follows:
- Fill up the application: You must fill out the application form with all the required details. Review the details carefully before applying. A completed application will help us understand your learning plan.
- Wait for our offer letter: After filling out your application, you should wait for us to send you the offer letter. The offer letter will contain all the details about the machine learning course, including the total fee, payment schedule, and more.
- Block your seat: You must accept the offer letter by paying a nominal amount. After that, your seat in the AI and ML course will be blocked.
What is the prerequisite to joining the program?
How will I be evaluated during the Artificial Intelligence course?
What is the program eligibility?
What is the selection process for the program?
Are there any other programs offered by Hero Vired similar to this program?
Refund Policy/ Financials
What is the programme fee?
Is there any deferral or refund policy for this Programme?
What are the payment options to pay the course fee?
Is there any financial assistance or scholarship available for this course?
Hero Vired is a premium LearnTech company offering industry-relevant programs in partnership with world-class institutions to create the change-makers of tomorrow. Part of the rich legacy of the Hero Group, we aim to transform the skilling landscape in India by creating programs delivered by leading industry practitioners that help professionals and students enhance their skills and employability.