The Assignments provided were based on step-by-step difficulty levels, so it enabled us to learn new stuff slowly and gradually while applying the previous concepts that we already knew.
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.
Develop foundational knowledge in algorithms, data processing, and model building which are critical for data science roles.
Enables students to build real-world AI/ML models, a crucial part of any data science portfolio.
Highlights relevant technical skills and projects, making candidates stand out to recruiters.
Prepares students for technical interviews, which includes ML concepts, case studies, and problem-solving challenges.
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
Understand the fundamentals of AI and ML, key types of learning, and real-world business applications
Learn data manipulation using Pandas and Numpy, visualize data with Matplotlib and Seaborn, and apply key feature engineering techniques
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:
Unsupervised ML Models:
Model Training:
Hyper parameters tuning:
Loss Functions:
Regularization:
Overfitting vs Underfitting
Model Evaluation metrics:
Model Deployment and scoring:
Batch vs API
Delve into neural networks, backpropagation, optimizers, and build deep learning models using PyTorch
- Dropout
- Batch Normalisation
- GD with Momentum
- RMSProp
- Adam
- Anomaly Detection
<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
- Bag of Words, TF-IDF, etc.
- Word2vec, doc2vec, etc.
<Mini Project> A sentiment classification model in PyTorch
Understand transformers, BERT, GPT, prompt engineering, RAG systems, and fine-tuning large language models
- <Mini Project>
- 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.
- 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
- Best practices when writing a prompt
- Zero-shot vs few-shot
- What is chain of thoughts ?
- 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.
Data Structures: List, Tuples, Sets, Dictionary
Functions & argument variations, decorators
Schema
Joins
GroupBy
Index
Window Functions
Subquery
Case when
Connecting & Querying from Python
Use SQL in python on pandas:
- Pandasql
- duckdb
Calculus
Linear Algebra
Probability
Statistics
Stack
Queue
Linked List
100% Job Placement Assistance
Gain practical knowledge
Hands-on practice with real time challenges
Bootcamps to build and deploy 20+ implementations
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
We’re committed to your success every step. Throughout the Gradious program, our devoted team will collaborate with you to initiate your career journey.
Build on your communication and collaboration skills from Day 1, with our 360-degree feedback based learning
Attend unlimited mock interviews with our AI-based interview bot. Follow it up with interviews with industry professionals
Build an effective resume and professional profile to get visible to potential employers
Access to our Job board with latest news and updates on all the opportunities that best fit your skills
With career success in mind we organise regular workshops that prepare you to tell your story and land that first job
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
Multi-language
Code Editor
Interview
Prep Modules
Internship, Job & Hackathon Boards
AI based Virtual Interview
Get recognition for all the hard work you have done and learnt skills
Cohort 40 (Registration Closed)
Unlock full access to our complete DSA learning experience with a single payment. No hidden fees. No monthly charges
The Assignments provided were based on step-by-step difficulty levels, so it enabled us to learn new stuff slowly and gradually while applying the previous concepts that we already knew.
My experience with Gradious was highly positive. The training provided a comprehensive understanding of the MERN stack and equipped me with valuable leadership and management skills. I thoroughly enjoyed the learning process, and the opportunity to make new friends was a great bonus.
I feel more confident after the training and I believe I can effectively apply the skills and knowledge acquired here throughout my entire career.
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 like the way the trainer’s way of teach and clear all our doubt in the sessions.
Over all training was very nice, thank you gradious team. It was really a good experience, where I mastered JavaScript and nodejs. Due to this, learning frameworks like react became very easy, also made projects using it. This course has significantly improved my ability to read and understand code. I can now easily understand even lengthy codebases.
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:
