Certification in Machine Learning & Generative AI

Bootcamp to build and deploy 20+ implementations

Workshops every week to ensure continuous learning

Next Batch Starting in August

Our bootcamp works towards making a novice to
a job-ready data science professional

The certification program in machine learning and artificial intelligence is designed to teach industry tools relevant in today’s changing environment. Our collaborative coursework simulates a work environment of a data scientist.

The schedule is created with precision to give enough time to learn and practice. The course is for 24 weeks with the last 4 weeks dedicated to delivering a live project. 

The course is paced understanding the limited time available and only requires 10-12 hours a week, with training from data scientist on saturday’s. 

Every session includes learning concepts, practicing them and working on challenges propelling deeper understanding. Feedback from peers and instructors is baked into the course.

 


Languages and Tool Set covered in this AI and ML bootcamp

Program Outline

1.Python & OOPS – Essential for AI

  • Introduction to Python
  • Data types and variables
  • Control structures and loops
  • Control flows,
  • Functions and modules
  • Data Structures: List, Tuples, Sets, Dictionary Packages & Modules
  • Iterators Generators 
  • Functions & argument variations, decorators
  • Object-Oriented Programming Concepts
  • Classes and Objects
  • Exceptions

2. Database / SQL for Data science

  • Introduction to SQL and NoSQL databases
  • Schema 
  • Joins 
  • GroupBy 
  • Index 
  • Connecting & Querying with Python

3. Math Foundations for Data Science

  • Probability
  • Statistics
  • Linear Algebra
  • Calculus

4. Data Processing & Visualization

  • Numpy
  • Pandas
  • Matplotlib

5. Feature Engineering

  • Selection
  • Extraction

6. Machine Learning Algorithms

  • Classification
  • Regression
  • Overfitting
  • Underfitting
  • Hyper parameters
  • Validation sets
  • SVM, K-Nearest, Naive Bayes, Decision Tree, Random Forest
  • Principal Components Analysis
  • K-means clustering, Stochastic Gradient Descent

7. NLP(Natural Language Processing) & Neural Network

  • Text Representation
  • Embeddings
  • Feed forward Neural network
  • Optimizers
  • Back Propagation
  • Multi Layer perceptrons
  • Features for Perceptrons

8. Deep Learning

  • PyTorch
  • Tensor
  • Keras
  • Convolutional Neural Networks(CNN)
  • Autoencoders
  • Recurrent Neural Network (RNN)
  • Simple RNN
  • LSTM RNN

9. Generative AI

  • Attention & Transformers
  • BERT, GPT, Hugging face
  • Prompt Engineering
  • Langchain
  • RAG
  • Finetuning
  • Introduction to Python
  • Data types and variables
  • Control structures and loops
  • Control flows,
  • Functions and modules
  • Data Structures: List, Tuples, Sets, Dictionary Packages & Modules
  • Iterators Generators 
  • Functions & argument variations, decorators
  • Object-Oriented Programming Concepts
  • Classes and Objects
  • Exceptions
  • Introduction to SQL and NoSQL databases
  • Schema 
  • Joins 
  • GroupBy 
  • Index 
  • Connecting & Querying with Python
  • Probability
  • Statistics
  • Linear Algebra
  • Calculus
  • Numpy
  • Pandas
  • Matplotlib
  • Selection
  • Extraction
  • Classification
  • Regression
  • Overfitting
  • Underfitting
  • Hyper parameters
  • Validation sets
  • SVM, K-Nearest, Naive Bayes, Decision Tree, Random Forest
  • Principal Components Analysis
  • K-means clustering, Stochastic Gradient Descent
  • Text Representation
  • Embeddings
  • Feed forward Neural network
  • Optimizers
  • Back Propagation
  • Multi Layer perceptrons
  • Features for Perceptrons
  • PyTorch
  • Tensor
  • Keras
  • Convolutional Neural Networks(CNN)
  • Autoencoders
  • Recurrent Neural Network (RNN)
  • Simple RNN
  • LSTM RNN
  • Attention & Transformers
  • BERT, GPT, Hugging face
  • Prompt Engineering
  • Langchain
  • RAG
  • Finetuning

Who is this for?

Working Professionals

  • Professionals eager to develop a working knowledge of ML / AI.
  • Employee’s in testing or support roles seeking to advance their career 

Graduated Students

  • Fresh graduates looking to up-skill
  • Get project-based experience 

Engineering Students

  • Students wanting to acquire industry-relevant skills

Eligiblity

  • Basic knowledge of any programming language
  • Good aptitude and attitude
  • Basic Amenities – Laptop with Internet
  • A commitment of time and hard work

Process & Timelines

1. Enrolment

Complete the enrolment form

2. Evaluate

Gradious team will fix an evaluation schedule and share the test details. ​

3. Learning

Guided learning sessions with established data scientists

4. Project & Assessments

Complete all course work, assessmets and capstone projects

5. Certification

Grab your certificate

6. Data Science Job

Get going on the job related to AI/ML, GenAI

Why Gradious - Comparision

GRADIOUS

UNIVERSITY ALIGNED PROGRAM

ONLINE COURSES / TUTORIALS

TRAINING COMPANIES

Detailed Explanation

END-TO-END IMPLEMENTATION

REAL INDUSTRY GRADE PROJECT

DELIVERED BY INDUSTRY PROFESSIONALS

COST EFFECTIVE

PLACEMENT ASSITANCE

Why Gradious - Comparision

Key Highlights of the Gradious Program

This learning program acts as a stepping stone to the world of AI/ML

It is designed to help a novice developer gain skills in Machine Learning, Artificial Intelligence, Natural language processing models, Large language models, Generative AI, etc. 

Structured curriculum, designed by industry professionals

Live Sessions by software developers from Microsoft, Google or similar companies

Extensive practice challenges of varying difficult within an integrated coding environment

Regular evaluation and continuous feedback with detailed progression

Regular mentorship with dedicated support and doubt solving with ease

Career guidance through mock interviews, profile building, and job/internship referrals

Get Certified

Get recognition for all the hard work you have done and learnt skills 

Career Services - That Get You Hired​

We’re committed to your success every step. Throughout the Gradious program, our devoted team will collaborate with you to initiate your career journey.

“Our goal is to ensure you’re fully prepared for your interview”

Learn Effective Communication

Build on your communication and collaboration skills from Day 1, with our 360-degree feedback based learning

Mock Interview

Attend unlimited mock interviews with our AI-based interview bot. Follow it up with interviews with industry professionals

Build Amazing Profile

Build an effective resume and professional profile to get visible to potential employers 

Job Updates

Access to our Job board with latest news and updates on all the opportunities that best fit your skills

Hands-On Workshops

With career success in mind we organise regular workshops that prepare you to tell your story and land that first job

Dedicated Placement Team

Our inhouse vastly experienced team will work with our hiring partners to ensure you grab every job opportunity

Companies that trust us...

MPHASIS logo
Kore-ai
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Simeio logo
Sureify logo
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decisions Logo
Minfy Logo
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Techouts
eSoftLabs logo

And many more...

Enrol now, and get an early bird discount

Still having questions?

Request a Callback. An expert from the admissions office will call you in the next 48 working hours. 

You can also reach out to us at admissions@gradious.com or +91-90001 20995