Book your seat with as low as INR 5,000/- only Duration of the program - 5 months Limited no. of seats available
Learn from the Best in the Industry Trainers and Publishers to become job ready.
Get reports on strengths and weaknesses on tech skills through coding on CloudLabs
Practice with Capstone Projects and enhance your portfolio
Career coaching includes mock interviews, CV, LinkedIn, Github and soft skills training
Get Video Based Step by Step Projects
Become trained on concepts with guided exercises and get ahead of your peers
Understand the importance of Python for AI and ML, and revise basic Python concepts. Handle errors and exceptions in Python. Introduction to NumPy for efficient numerical computations and data manipulation.
Understand the basics of calculus for machine learning. Learn about derivatives and their applications in machine learning. Explore linear algebra for machine learning. Understand eigenvalues and eigenvectors in linear algebra. Gain knowledge of probability theory and its role in machine learning. Explore statistical measures and probability distributions.
Understand the basics of machine learning and its types. Explore supervised learning - regression and classification. Understand unsupervised learning techniques. Introduction to ensemble methods and model selection. Introduction to deep learning and neural networks. Understand deep learning concepts and architectures.
Introduce natural language processing (NLP) techniques. Explore word embeddings and transformer models. Introduction to generative AI and reinforcement learning. Understand tree models and hosting with machine learning. Introduce speech recognition and gesture recognition. Explore the Naive Bayes algorithm.
Perform Projects on Supervised Learning, Un-Supervised Learning, NLP or generative AI or reinforcement learning.
Max Life Insurance aims to enhance claim processing, efficiency, and risk assessment. This involves training a supervised learning model, like a decision tree or random forest, to predict future claim likelihood and severity
The goal is to analyze customer segments for Amazon and create personalized marketing strategies. This involves utilizing unsupervised learning techniques like clustering algorithms to group customers based on behavior, preferences, demographics, and variables.
Develop an AI chatbot for Twitter that understands customer queries and offers automated support. Utilize NLP, deep learning, and conversational AI to interpret inquiries, troubleshoot, and provide solutions. Test, evaluate, and fine-tune the chatbot's performance, incorporating feedback loops for enhancement. Present a prototype demonstration.
Create a data analysis tool for Walmart's marketing, capable of handling various datasets, cleaning and preprocessing data, performing exploratory analysis, visualizing insights, and generating actionable marketing recommendations using Python and concepts learned in the first month.
Build a machine learning model for "SmartMart" to predict customer churn using a dataset with demographics, purchase history, and engagement metrics. Apply regression and classification algorithms learned during the second month to identify likely churners. Evaluate the model's performance and offer recommendations to reduce customer churn.
Create a deep learning model for image recognition in "PropertyVision" real estate company. Use CNNs to identify property features, improve accuracy, evaluate performance, and provide a user-friendly interface for automated image classification.
Build an AI-powered virtual assistant for "SmartHome Solutions" that understands voice commands, processes spoken language using NLP, and recognizes gestures for touchless control of smart home devices. Use deep learning for speech recognition and NLP, along with computer vision for gesture recognition. Showcase the virtual assistant's functionality by interacting with smart home devices.
| Video Course | Market Bootcamps | upGrad's Bootcamp | |
|---|---|---|---|
Cloud Labs |
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Industry projects |
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Career Assistance |
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Performance Report |
| Tenure (Monthly) | Interest (Flat) Per Annum | EMI |
|---|---|---|
| 9 | 10.25 | INR - 9,178 |
| 12 | 10.25 | INR - 7,047 |
| 18 | 10.25 | INR - 4,917 |
| 24 | 10.25 | INR - 3,850 |
| Tenure (Monthly) | Interest (Flat) Per Annum | EMI |
|---|---|---|
| 9 | 10.00 | INR - 9,161 |
| 12 | 10.00 | INR - 7,031 |
| 18 | 10.00 | INR - 4,900 |
| 24 | 10.00 | INR - 3,835 |
| Paid at the time of enrollment | INR 48,000 |
| Pay After you get a tech job | 8% of CTC |
| Monthly payments during the course | INR 0 |
| Monthly payments after starting new job | 0.67% of CTC |
| Total Cost | INR 48,000 + 8% of CTC |
(Data Science +
Generative AI & ML)
| Tenure (Monthly) | Interest (Flat) Per Annum | EMI |
|---|---|---|
| 6 | 0.00% | INR - 15,000 |
| 9 | 10.25% | INR - 10,769 |
| 12 | 10.25% | INR - 8,269 |
| 18 | 10.25% | INR - 5,769 |
| 24 | 10.25% | INR - 4,519 |
| Tenure (Monthly) | Interest (Flat) Per Annum | EMI |
|---|---|---|
| 6 | 0.00% | INR - 15,000 |
| 9 | 10.00% | INR - 10,750 |
| 12 | 10.00% | INR - 8,250 |
| 18 | 10.00% | INR - 5,750 |
| 24 | 10.00% | INR - 4,500 |
My overall journey has been great. My mentor and trainer have been super supportive. They help everyone in the batch follow the curriculum... Show More
I enjoyed this Data Science program a lot. Most importantly for me, I learnt about Python and Data engineering-related Big Data tools... Show More
I relish live, online sessions and understanding the content in detail. I learnt Python and Data Analysis via this program... Show More
After 8 years of journey, I have always been looking for continuing my studies. Then after comparing through multiple options, I finally chose... Show More
My journey at upgrade has been nothing but a rollercoaster ride full of fun and excitement. I was looking for ways to add some skills to my skill set...Show More
While looking to upskill myself, I found Upgrad. It was a tremendous journey over the last year. The program has helped change my perceptions... Show More
My overall journey has been great. My mentor and trainer have been super supportive. They help everyone in the batch follow the curriculum seamlessly.
My overall journey has been great. My mentor and trainer have been super supportive. They help everyone in the batch follow the curriculum seamlessly. The program gets a bit difficult when it comes to the technical / software aspects, but there's no reason to worry. In such a situation, I suggest that all the beginners put additional efforts towards self-study and raise doubts when you feel something's incorrect so that you understand concepts fully.
To the learners like me who joined the course as beginners in the tech domain, I'd like to convey a message - you don't have to lose or be low on confidence just because you are a beginner. I assure you that upGrad has all the relevant content that you need to follow. I have myself given more than 50+ interviews, out of which I got rejected 23 times. Don't lose hope. Understand what you did wrong, make notes with the help of the course content, and implement your learnings. Once I did that, I got offers from 15+ companies.
The key is to not lose hope or confidence and keep practicing.
I relish live, online sessions and understanding the content in detail. I learnt Python and Data Analysis via this program. The trainers are excellent.
I don't have any tech experience, but I was interested in the field. Having completed my Master's in Mathematics along with a course in Microsoft Excel, by reason for enrolling in this Data Science program was quite different. I have an avid interest in the stock market, and my intention was to learn Data Analysis. This is so that I can practice Risk Analysis and reduce the scope of loss in my stock market career.
After 8 years of journey, I have always been looking for continuing my studies. Then after comparing through multiple options, I finally chose Upgrad because of the flexible timings and reviews from my colleagues. With Pandemic grasping the nation, and work from home changes in life, studying was not so easy. But with support from my family and experts at Upgrad, I was able to learn so many things. Upgrad has provided a path to learn, support for profile building and many other opportunities that will help me in transition in the field of Data Science.
My journey at upgrade has been nothing but a rollercoaster ride full of fun and excitement. I was looking for ways to add some skills to my skill set but really didn’t want to go through all those certificate courses which don’t hold much value. This is when I heard of Upgrad’s diploma program and was instantly interested in it. Their curriculum blew my mind and already being in the tech industry for the past 3 years at the time of joining I knew how much impact it would have on my career. During the course, I realized my true potential that how much I can do just by managing my time in an efficient manner. Not only I learned new skills but came to learn a new way of working more efficiently. I’m not gonna lie, this course was not easy. Meeting the deadlines became a headache but in the end, this is what made me feel rewarding.
All credit goes to the wonderful Post Graduate Certificate Program in Full Stack Development by upGrad. It helped me upscale my skill sets, identify possible job openings, and I really appreciate all that upGrad has done for me. While the world is still recovering from this pandemic, assuring young people with "Job Assurance," which is so comforting as an individual.
While looking to upskill myself, I found Upgrad. It was a tremendous journey over the last year. The program has helped change my perceptions of resolving problems at work. The beneficial course helped me bag a 75% hike in the data science field
I enjoyed this Data Science program a lot. Most importantly for me, I learnt about Python and Data engineering-related Big Data tools.
I pursued this program to leverage my technical expertise to work as a Data Engineer and make a difference in the organization. I have 5 years of technical experience and have worked with TCS as System Engineer for around 4 years. As a part of multiple Data Integration Projects, I've extensively worked on Informatica Power center, SQL for supporting Data Extraction, Transformations, and Loading.
The PRISM platform helps with coordination of theory and practical knowledge. Overall, the program was filled with learning. I enjoyed learning from trainers who are just not successful in transferring knowledge but also come with rich industry experience.
You can learn Generative AI & Machine Learning Bootcamp even without prior technical experience. Some amount of exposure to Mathematics, Statistics, Python and/or SQL will be beneficial.
The tech-driven world we live in is undergoing a rapid change at an astonishing rate. The need for machines which can quantify not just logical data, but data of all kinds is at an all-time high. The mimicking of human consciousness within machines lets computers analyze data faster and automate several tasks, leading to giant strides in all kinds of fields.
Even though a bit of prior knowledge of math, fundamental statistics, and programming will help you on your AI journey, there are no eligibility requirements that must be met in order to enrol for our online Generative AI & Machine Learning Bootcamp. The Generative AI & Machine Learning Bootcamp syllabus is designed such that you can go from zero AI skills to expert-level skills as you learn
The key role of an artificial intelligence engineer is to develop intelligent algorithms that are capable of reasoning like the human brain.
Throughout our online artificial intelligence bootcamp you will be introduced to all the tools and skills that you will need in your AI journey which includes but is not limited to Python programming, statistical modelling, machine learning, deep learning etc.
AI is the future of computing, and it is going through a rapid growth. Being an Artificial Engineer in this early stage of AI would mean that you play a hand in how the future is shaped and it would do wonders for your career as well as the computing world itself.
The future is now, and it is intertwined with AI. AI Engineering shall see a drastic increase in demand in the coming years. Now would be an opportune time to jump on to the AI boat. The US Bureau of Labor Statistics predicts a 22% growth in AI jobs up to 2030.
All of the bootcamp instructors are renowned AI experts with years of experience in leading the AI revolution across different industries.
Even freshers with no prior coding experience can enrol for our courses and become job-ready within just a few weeks.
Currently our Generative AI & Machine Learning Bootcamp is offered online as an intensive self-learning mode with practice sessions on Cloud Labs and doubt-clearing sessions by top AI experts.
Bootcamp is delivered through a live virtual classroom model that includes practice sessions, assignments, capstone projects, and doubt-clearing sessions by experts. It includes 110+ Hours of Instructor-Led Learning.
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