Certification in Machine Learning & Generative AI

Bootcamp to build and deploy 20+ implementations

Workshops every week to ensure continuous learning

Next Batch Starting in May

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

  • 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

Why Gradious - Comparision

Get Certified

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

Companies that trust us...

Techouts

And many more...

Course Fee

 INR 35,000/-

Price is inclusive of taxes 

Additional scholarship based on GCAT

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