Embark on a thrilling career with the Generative AI and Machine Learning program by iHUB DivyaSampark, a Technology Innovation Hub of IIT Roorkee. Benefit from live classes by experts and top faculty, IIT Roorkee campus immersion, Simplilearn career services, and certificates for IBM courses.
Receive a certificate of program completion from iHUB DivyaSampark, IIT Roorkee
Earn certificates for IBM courses and attend masterclasses by industry experts from IBM
Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs
Attend live online classes on generative AI, prompt engineering, explainable AI, ChatGPT, and more
Achieve mastery in your AI and machine learning career through this rigorous program. This Professional Certificate Program in Gen AI and Machine Learning combines both theory and hands-on training, offering live virtual sessions by industry experts, self-paced video lessons, projects, labs, and masterclasses by faculties from various eminent institutes.
Our curriculum equips you with the skills and knowledge to excel in your career. With a structured learning approach and industry-relevant projects, you will be able to tackle complex challenges and stay at the forefront of this field.
This Professional Certificate Program in Generative AI and Machine Learning encompasses an array of topics, ranging from Python programming, statistics, exploratory data analysis, supervised and unsupervised learning, deep learning, generative AI, prompt engineering, NLP, and other topics.
Get started with this Generative AI and Machine Learning Certificate Program and explore everything about this unique learning journey covering all the concepts of the generative AI and machine learning domain you need to kickstart your career.
- Neural networks, LLMs, architectures
- Generative models: VAEs, GANs, Autoencoders, Transformer-based models
- Developing and deploying a conversational chatbot
This Generative AI and Machine Learning Certification program culminates in a capstone project, providing you with the chance to put into practice the skills you've acquired in the training. Supported by focused mentoring sessions, you will tackle a real-world industry challenge. This project serves as the ultimate phase in your learning journey and as a platform to demonstrate your proficiency to potential employers.
Attend an online interactive masterclass and get insights about advancements in technology and techniques in AI and machine learning by faculties from various eminent institutes.
Attend an online interactive industry masterclass and get insights about advancements in technology and techniques in AI and machine learning by IBM experts
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Develop a conversational chatbot that can engage in meaningful dialogues, answer questions, provide recommendations, and assist with tasks based on the documents provided.
Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.
Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error and identifies the type of ships
Perform feature analysis to understand the features of water bottles using EDA and statistical techniques to understand their overall quality and sustainability.
Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.
Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.
Use exploratory data analysis and statistical techniques to understand the factors that contribute to customer acquisition for a retail firm.
Use data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different items across restaurants.
Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.
Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.
Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.
Use AI to categorize images of historical structures and conduct exploratory data analysis (EDA) to build a recommendation engine that improves marketing initiatives.
Develop a shopping application that has login and public login features, different categories, and supports a variety of payment options on the Python platform
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Leading as CEO at iHUB DivyaSampark, IIT Roorkee. An alumnus of IIT Kanpur with an MBA from KAIST, Manish is a seasoned innovator, fostering technological innovation at IHUB with a keen interest in AI & ML and analytics domain, making him an ideal advisor for our program.
Tushar carries a decade of professional experience in leading cross-functional global teams to deliver robust analytical solutions, with a particular emphasis on leveraging AI & Machine Learning and Data Analytics technologies.
This program caters to working professionals from a variety of industries and backgrounds. The diversity of our students adds richness to class discussions and interactions.
The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
Complete the application and include a brief statement of purpose.
Admission panel members will shortlist candidates according to criteria.
An offer of admission will be made to qualified candidates.
For admission to this program in Gen AI and Machine Learning, candidates should have: