Professional Certificate Course in Generative AI and Machine Learning
Start your transformative career journey with our Generative AI and Machine Learning course, delivered in collaboration with IIT Kanpur. Master industry-relevant AI skills through live classes led by industry experts, masterclasses conducted by IIT Kanpur faculty, and practical hands-on projects.
Receive a certificate of program completion from E&ICT Academy, IIT Kanpur
Earn valuable industry knowledge via masterclasses delivered by esteemed IIT Kanpur faculty
Applied learning through 25+ hands-on projects and 20+ tools with seamless access to integrated labs
Exposure to ChatGPT, Hugging Face, DALL-E 2, Gemini, and other prominent tools
The Generative AI and Machine Learning course enriches your career with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it features live virtual sessions, projects with integrated labs, and masterclasses by eminent IIT Kanpur faculty.
Our curriculum empowers you with the expertise needed to thrive in your career. Through systematic learning and practical industry projects, you'll adeptly address intricate challenges and remain at the forefront of the AI & ML field.
The course in GenAI and ML covers diverse subjects including Python programming, EDA, supervised and unsupervised learning, deep learning, generative AI, prompt engineering, LLMs, NLP, and much more.
Commence your educational endeavor with our Generative AI and Machine Learning certificate course. Immerse yourself in a distinctive and comprehensive learning experience designed to delve into every facet of the generative AI and machine learning domain, providing you with the essential foundation required to launch your career ambitiously.
At the end of the Machine learning course, participants embark on a capstone project, where they get to put their newfound skills into action. With guidance from mentors, they tackle real industry challenges head-on. This project isn't just the final stretch of their learning journey; it's also a chance to show off their abilities to potential employers in a real-world context.
Engage in enlightening online interactive masterclasses led by distinguished faculty members from the esteemed institution of IIT Kanpur. These masterclasses provide invaluable insights into the latest advancements in technology and techniques across the expansive domains of Data Science, Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning. Through comprehensive discussions and presentations.
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of generative AI workloads on Azure
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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.
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.
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.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Arijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.
The diversity of our cohorts brings intensity to classroom conversations & interactions. Our AI and ML course caters to learners from an array of sectors and experiences.
The application process consists of 3 simple steps. An offer of admission will be made to the selected candidates and can be accepted by the candidates by paying the admission fee.
Tell us a bit about yourself and why you want to do this course
An admission panel will shortlist candidates based on their application
Selected candidates can join the program by paying the admission fee
For admission to this GenAI and Machine Learning Course, candidates should have:
The anticipated time to complete the Professional Certificate Course in Generative AI and Machine Learning is 11 months.
Professionals eager to develop AI and ML expertise with the objective of:
For admission to this course of Machine Learning, candidates should have:
A bachelor's degree with an average of 50 percent or higher marks.
Prior knowledge or experience in programming and mathematics.
Preferably 2+ years of formal work experience.
As a part of this Best Machine Learning Online Course, you will receive the following:
Upon successful completion of this AI and Machine Learning Certification, you will be awarded a certificate of completion by E&ICT Academy, IIT Kanpur, along with industry-recognized certification from Simplilearn for courses in the learning path.
This Machine Learning Course is entirely online, so there's no need to be in a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or mobile.
We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after the completion of your Machine Learning Certification.
Our teaching assistants are a dedicated team of subject matter experts of machine learning and here to help you get certified in the Machine Learning Course on your first attempt. They proactively engage with students to ensure adherence to the learning path- helping to enrich their learning experience, from class onboarding to project mentoring to career assistance.
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
Machine learning is nothing but an implementation of Artificial Intelligence that allows systems to simultaneously learn and improve from past experiences without the need of being explicitly programmed. It is a process of observing data patterns, collecting relevant information, and making effective decisions for a better future of any organization. Machine learning facilitates the analysis of huge quantities of data, usually delivering faster and accurate results to extract profitable benefits and opportunities.
Artificial intelligence and machine learning job roles are in high demand currently. Some top job roles in Machine Learning are Data Scientist, Machine Learning Engineer, NLP Scientist, Computer Vision Engineer, and Data Architect. This Machine Learning course gives you all the necessary skills to become eligible for such roles
In case you wish to cancel your enrollment and apply for a refund, you have to raise a refund request within 7 days of the first online live class held for the program whether attended by you or not. Your refund entitlement is void if you have either attended an Online Live Class or if you have received recordings for one or more live classes or if you have accessed more than 25% of the content of any e-learning course module or if you have downloaded any e-book. Notwithstanding the above, the booking fee paid by you towards securing your seat in the program shall be non-refundable under all circumstances. You have to raise requests for refund only with Simplilearn.
This machine learning course covers some of the most important technical skills like statistics, Python programming, supervised learning, unsupervised learning, neural networks, deep learning, recommendation systems, speech recognition, computer vision, and NLP.
Indeed, this machine learning course is suitable for freshers and requires no prior experience.