Gradious helped me build strong technical skills and practical knowledge. The learning environment and mentorship made me feel confident and better prepared for real-world challenges. A very positive learning experience overall.
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
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Batch Size
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172
|
|
Students Placed
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120
|
|
Placement Percentage
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69.77%
|
|
Highest Pay
|
40 LPA
|
|
Highest Pay (Fullstack)
|
40 LPA
|
|
Highest Pay (ML Batch)
|
11 LPA
|
|
Lowest Pay
|
3 LPA
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|
Average Pay
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6.35 LPA
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Placed above 8 LPA
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14
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Placed above 5 LPA
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44
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Gradious helped me build strong technical skills and practical knowledge. The learning environment and mentorship made me feel confident and better prepared for real-world challenges. A very positive learning experience overall.
I enrolled in a full-stack course that turned out to be a game-changer in my career journey. The course provided me with the right skills and guidance, helping me secure an internship. It’s an excellent starting point for anyone looking to kickstart their career and achieve their goals. Highly recommend it for aspiring professionals!
I just completed the Full Stack course at Gradious, and the quality of instruction is exceptional. Unlike other courses that just scratch the surface, we dived deep into System Design, DSA, and building scalable applications. The mentors are industry veterans who don’t just teach theory; they provide real-world insights that you can’t find in online resources. I especially appreciated the assessment sessions, which ensured I never felt stuck on a project. Highly recommended for anyone serious about mastering the MERN stack
I enrolled in Gradious a year ago, and it’s been the best decision for my career. The curriculum perfectly balances DSA and AI/ML theory with hands-on projects. Unlike short bootcamps, the year-long duration gave me the time to truly master complex topics. Most importantly, their placement support is top-notch. Thanks to their network and prep, I just secured an internship! If you want to be genuinely job-ready, I highly recommend Gradious.
I had a great learning experience with Gradious Technologies. I completed the Full Stack Developer course here, and the training was well-structured and industry-oriented. Along with full-stack skills, I learned DSA in Java, which helped me build strong problem-solving fundamentals.
The biggest highlight is that I also got placed as a full-stack developer through Gradious, which I’m truly grateful for. The mentors were supportive, and the placement guidance was very helpful. I sincerely thank the entire Gradious team for their guidance and support. Highly recommended for anyone looking to build a strong tech career.
I recently completed my Full Stack Web Development training at Gradious, and it was an amazing experience. I really loved their teaching methodology, which focuses on real-world aspects with real examples to solve real problems. Their practice questions and explanations helped me gain a strong understanding from the basics, which are the true building blocks of development. This training has greatly improved my confidence and skills.
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: