Gradious has been an amazing journey, and I’ve come a long way since I embarked on this program. It’s been a thrilling adventure, and I’ve grown tremendously from where I began.
45 Days Coding Challenge
Master Machine Learning & Generative AI
Learn everything from foundations to deployment with 20+ hands-on implementations.
Gradious AI & ML programs transform a novice into a job-ready data science professional.
- 2 June, 2025
Get
Certified
Dedicated support and doubt solving
Interactive live sessions online
Live
capstone project
Why is AI & ML important?
Core Competency Development
Develop foundational knowledge in algorithms, data processing, and model building which are critical for data science roles.
Hands-On Experience
Enables students to build real-world AI/ML models, a crucial part of any data science portfolio.
Strong Differentiator
Highlights relevant technical skills and projects, making candidates stand out to recruiters.
Interview Readiness
Prepares students for technical interviews, which includes ML concepts, case studies, and problem-solving challenges.
What you'll learn?
Obtain a detailed understanding of AI and Machine Learning which are the critical for handling real-world challenges today!
Master advanced Python concepts, including object-oriented programming
- Packages & Modules
- Iterators
- Generators
- Classes & Objects
- Exceptions
Understand the fundamentals of AI and ML, key types of learning, and real-world business applications
- What is ML?
- Supervised vs Unsupervised
- Regression vs classification
- Anomaly Detection
- Neural Networks
- NLP
- Various Business scenarios where ML is being used
Learn data manipulation using Pandas and Numpy, visualize data with Matplotlib and Seaborn, and apply key feature engineering techniques
- Data Libraries: Numpy, Pandas
- Visualization libraries: Matplotlib, seaborn
- Data Sourcing
- Exploratory Data Analysis
- Feature engineering
- Feature reduction
- Feature bucketing
- Feature Importance
Learn all about machine learning algorithms which are computational methods that enable systems to learn from data and make predictions or decisions without being explicitly programmed.
Supervised ML Models:
- Linear regression
- Logistic Regression
- SVM
- Naive Bayes
- KNN
- Decision Tree
- Bagging -> Random Forest
- Boosting -> AdaBoost, GBM, XGBoost, etc.
- <Mini Project> Titanic Survival / Breast Cancer
Unsupervised ML Models:
- Isolation Forest (Anomaly Detection)
- Principal Component Analysis
- Clustering (K-Means)
- Capacity, Overfitting, underfitting
Model Training:
- Train Test Split
- Scoring
Hyper parameters tuning:
- RandomSearch
- GridSearch
- Hyperopt
Loss Functions:
- Logg loss
- Cross Entropy
- MAE, MSE, etc.
Regularization:
- LI vs 12
Overfitting vs Underfitting
Model Evaluation metrics:
- Accuracy
- AUC
- Precision
- Recall
- Fl Score
- Lift, etc.
Model Deployment and scoring:
Batch vs API
Delve into neural networks, backpropagation, optimizers, and build deep learning models using PyTorch
- What is a Neural Network
- Forward and backward propagation
- Activation Functions
- Gradient Descent
- Vanishing and exploding
- Weights & Bias
- Regularization:
- Dropout
- Batch vs Mini Batch vs Stochastic:
- Batch Normalisation
- Optimizers:
- GD with Momentum
- RMSProp
- Adam
- Autoencoders:
- Anomaly Detection
- PyTorch
<Mini Project> Deep Learning model building and training using PyTorch for a classification Problem
Work with text data using NLP techniques, vectorization methods, and build sequence models like RNNs and LSTMs
- What is NLP?
- Various methods to transform textual data into numerical data:
- Bag of Words, TF-IDF, etc.
- Word2vec, doc2vec, etc.
- Data Preprocessing in NLP
- RNN, LSTM, GRU
<Mini Project> A sentiment classification model in PyTorch
Understand transformers, BERT, GPT, prompt engineering, RAG systems, and fine-tuning large language models
- Attention & Transformers.
- BERT:
- <Mini Project>
- Generative Models:
- How does GPT-2 work?
- How do decoder models predict the sentences? Different decoding methods:
->Greedy search
->Breedy search
->Sampling
->Tok-k sampling
->Top-p sampling.
- Sentence Transformer:
- What is semantic search ?
- What is vector db?
- KNN Brute Force vs Approx Nearest Neighbor(ANN) concept in Information retrieval (IR) for a RAG system?
->IVF
->LSH
->HNSW
- Prompt Engineering:
- Best practices when writing a prompt
- Zero-shot vs few-shot
- What is chain of thoughts ?
- Langchain, RAG
- What is memory buffer in langchain for chat models
- Models and different tasks supported by langchain
- <Mini Project> Build a RAG model for Q/A
Fine Tuning of LLMs
Apply your skills by developing and presenting a complete, real-world data science project from scratch
Guided Learning:
Comprehensive documents, videos, and assignments will be provided for the following topics, with ample time allocated based on your semester schedule.
- Python Fundamentals - Self Learning (Build a strong foundation in Python basics, including data structures, functions, and decorators)
Data Structures: List, Tuples, Sets, Dictionary
Functions & argument variations, decorators
- SQL Advanced - Self Learning (Master advanced SQL concepts and learn to integrate SQL queries within Python using libraries like Pandasql and DuckDB)
Schema
Joins
GroupBy
Index
Window Functions
Subquery
Case when
Connecting & Querying from Python
Use SQL in python on pandas:
- Pandasql
- duckdb
- Math Foundations for Data Science - Self Learning (Gain essential mathematical knowledge in calculus, linear algebra, probability, and statistics for data science applications.)
Calculus
Linear Algebra
Probability
Statistics
- Advanced DSA using Python (Explore key advanced data structures such as stacks, queues, and linked lists to optimize problem-solving skills.)
Stack
Queue
Linked List
What You'll Achieve
100% Job Placement Assistance
Gain practical knowledge
Hands-on practice with real time challenges
Bootcamps to build and deploy 20+ implementations
Key Highlights of the Gradious AI ML Program
An ideal starting point for beginners, this program builds strong foundations in AI/ML while encompassing advanced topics, like NLP, large language models, and Generative AI, preparing you for real-world data science roles.
Expert-curated curriculum built by leading industry practitioners
Interactive live sessions led by engineers from top tech companies like Google, Microsoft, and more
Hands-on coding challenges with varying difficulty levels in a built-in practice platform
Continuous progress tracking with regular assessments and personalized feedback
Ongoing mentorship with fast, reliable support for doubts and concept clarification
Career support including mock interviews, resume building, and job/internship referrals
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
Guided Learning Paths with progress checkpoints
Competitive
Coding Practice
Discussion Forums & Doubt Tickets
Mock Tests for real-time readiness
Gradious LEAP Platform
An integrated platform that offers
an holistic
learning & proctored evaluation
Multi-language
Code Editor
Interview
Prep Modules
Internship, Job & Hackathon Boards
AI based Virtual Interview
Get Certified.
Get recognition for all the hard work you have done and learnt skills
Prove that your skills are certified with an online verified certificate
Boost your professional network on Linkedin with your certificate
Our Hiring Partners
Enroll with slots
Active Batches
Cohort 40 (Registration Closed)
Simple, One-Time Payment.
Lifetime Access.
Unlock full access to our complete DSA learning experience with a single payment. No hidden fees. No monthly charges
Our Students Love Talking About Us
Being an ECE student I really didn’t know any technology before joining this course except basic problem solving but this hands-on training by gradious helped me learn web technology from scratch
I learnt a lot about Linux and AWS. This training has given me the boost that I needed. The entire Gradious team helped me learn and grow. They even taught us how to be more efficient and productive. Kudos to the team.
The trainers at Gradious are extremely good and they listened to our problems and immediately resolved them. I am grateful to their team as many technical concepts were simplified for us. The session also included personality development and attitude for work. This is something that is never really taught. The training was well rounded and prepares us for the industry.
FAQ’s
This program is designed to equip students with end-to-end skills in AI, Machine Learning, and Data Engineering. It emphasises on helping students build capabilities in diverse domains, including Python, Statistics, ML Algorithms, Deep Learning, SQL, Data Pipelines, and Model Deployment.
The program runs for 19-20 weeks.
The Gradious Data AI & ML program is curated and led by industry experts and data scientists working in reputed companies, such as Microsoft, Oracle, Cognizant, and startups in the AI/ML space. They bring technical expertise and practical insights which help the development of students.
No. Placement is not guaranteed, but Gradious strongly supports all deserving and committed students by connecting them with their hiring partners and preparing them for interviews. Individual success depends on their performance and hard work. Gradious will ensure you are mentored, evaluated, and exposed to the right opportunities.
This program will help you:
- Build a strong foundation in ML, AI, and data processing
- Gain practical experience through real-world live projects
- With expert guidance
- Participate in mock interviews, coding rounds, and analytics case studies
Get started with your AI and ML journey today.
Get technically equipped & ace your interviews!
At Gradious, we strive to work with passionate learners on their journey to become excellent technocrats.
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