This Machine Learning course will equip you with coveted skills in ML, Deep Learning, Reinforcement Learning, NLP, Generative AI, Explainable AI, ChatGPT, and more. Through masterclasses from IIT Kanpur faculty, live classes from industry experts, and hands-on projects, stay ahead in the AI field.
Live masterclasses from IIT Kanpur faculty and Certificate from E&ICT Academy, IIT Kanpur
Access to 4 live sessions by experts on generative AI, ChatGPT, OpenAI, GPT models, and more
25+ industry relevant projects from the likes of Twitter, Uber, Mercedes Benz, and many more
Career mentorship and profile-building sessions with valuable insights from industry experts
This course is designed to boost your AI and ML career by providing a comprehensive understanding of all current facets of these technologies, such as deep learning, computer vision, and more. You will also gain access to 4 live sessions on some of the latest developments in the AI field such as Generative AI, ChatGPT, Explainable AI and much more
This AI and Machine Learning Online Course is an all-encompassing course offered by Simplilearn in collaboration with E&ICT Academy, IIT Kanpur. Join this Best Machine Learning Course and master various skills to excel in your work.
This state-of-the-art Machine Learning course offers modules that can help you kickstart a thriving career in AI and ML. You'll also have the opportunity to delve into cutting-edge AI topics such as generative AI, ChatGPT, GPT models, and explainable AI.
Get started with the Machine Learning Course, explore everything about the program and kickstart your AI and Machine Learning journey through this introductory session.
Learn the fundamentals of AI with this introductory course. The Machine Learning Course will take the learners through the basic concepts of AI, ML and its business applications.
The AI and Machine Learning Course encompasses the entire overview of Python and its applications in Data Science. The Machine Learning Course will cover the critical tools and techniques crucial for your role. Python being an integral part of data science, acquiring this knowledge will enhance your career.
Machine Learning is the subset of AI that enables machines to learn and adapt to perform specific tasks. This AI and Machine Learning Certification covers all critical aspects of machine learning from supervised learning, unsupervised learning and hands-on modeling to developing algorithms.
This Deep Learning course helps you master Deep learning topics and model building using Keras and TensorFlow frameworks. Learn to implement algorithms to ensure you have a complete overview of Deep Learning and progress into building a prominent career in the domain.
Deep Learning is an integral part of machine learning and understanding different concepts of deep learning is important for developing a career in machine learning. This Advanced deep learning course takes the next step into concepts like Computer Vision basics, OpenCV, Keras and TensorFlow 2, Pytorch, Computer Vision for OCR, and Object Detection.
This AI and Machine Learning Certification includes a capstone project that will give you an opportunity to implement the skills you’ve learned in this program to solve an industry-relevant problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.
Programming is an increasingly important skill and this Machine Learning Online Course will establish your proficiency in handling basic programming concepts. By the end of this Machine Learning Certification, you will understand object-oriented Programming; basic programming concepts such as data types, variables, strings, loops, and functions; and software engineering concepts such as multithreading and multitasking using Python.
Learn statistics, an important part of data science, and essential terms related to it. The Machine Learning Course explains central tendency and dispersion, skewers, regression, correlation and distribution. The Machine Learning Certification also equips students with the knowledge to make data-driven decisions through statistical inference.
This Machine Learning Course helps you learn the core concepts of NLP, including feature engineering, natural language generation, automated speech recognition, speech to text conversion, text to speech conversion, and voice-assistance devices (including building Alexa skills).
Understand how to solve reinforcement learning problems using various strategies, Python and TensorFlow, and how to apply different algorithms to solve problems.
Attend an online interactive masterclass delivered by IIT Kanpur faculty and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning
This is a Fundamental course that is covering the basics of ChatGPT and its applications in different domains.
Attend these online live sessions delivered by industry experts to gain insights about the latest advancements in the AI space. Some of the areas and concepts covered include Generative AI and its Applications, Leveraging the power of generative modeling to build innovative products, Building and deploying GPT-powered applications Demystifying ChatGPT, its architecture, training methodology, and business applications, and Applications of ChatGPT. {*Areas mentioned above are subject to change}
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Using NLP and Machine Learning, build a model to identify inappropriate tweets that should be removed from the Twitter platform to prevent social hate and negativity.
Perform data analysis on the Amazon customer movie reviews data set and build a machine learning recommendation algorithm.
Mercedes-Benz wants the time on its test-bench to reduce the time it takes a car to get to the market. Build and optimize the Machine Learning algorithm to solve this problem.
Help Simplilearn assess the quality of elearning videos freely available on YouTube to prepare high quality and engaging video content for students
Analyze different types of cancers and identify the probable cause of these cancers in terms of the genes responsible for each.
Help Book-My-Show analyze whether a particular URL is prone to phishing — malicious — or not.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Professor Amey Karkare is the Poonam and Prabhu Goel Chair Professor, Department of Computer Science and Engineering at IIT Kanpur. His areas of focus are applications of Program Analysis, Compiler Optimizations, Software Engineering, and Machine Learning to build software systems.
The diversity of our cohorts brings intensity to classroom conversations & interactions. Our Machine Learning Course cater to learners from a wide range of sectors and experiences.
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.
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 AI and Machine Learning Certification, candidates should have:
For admission to this Machine Learning Course, candidates should have:
Professionals eager to develop AI and ML expertise with the objective of:
The admission process for this Machine Learning Course consists of three simple steps:
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.
The Machine Learning Course could be completed according to your schedule but the anticipated time to complete the overall program is 11 months.
This Machine Learning Online Course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
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 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.
Machine learning is generally divided into three types - Supervised Learning, Unsupervised Learning, and Reinforcement Learning. This Machine Learning course gives you an in-depth understanding of all these three types of machine learning.
Machine learning has gained global traction and many are aspiring to start a career in this field. Jobs in AI and machine learning have grown around 75 percent over the past few years and Gartner predicts that there will be 2.3 million jobs in the field by 2022. Our Machine Learning Course will give you all the necessary skills to work in this exciting field.
Some of the top job roles in the field of 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.
A Machine Learning professional develops and implements algorithms and models that allow computers to learn from data and improve their performance in specific tasks. They work with large datasets, designing and testing machine learning models to identify patterns, create predictions, and make decisions. They also explore new machine learning techniques and stay up-to-date with the latest advancements in the field.
A Machine Learning course is a training program that teaches students the concepts, techniques, and tools used in machine learning. It covers topics such as data preprocessing, feature engineering, supervised and unsupervised learning, deep learning, and model evaluation. The course may also include hands-on projects and assignments, giving students practical experience in applying machine learning to real-world problems.
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.
The learning objective of this machine learning course is to equip learners with the necessary skills and knowledge to become proficient in AI and Machine Learning and apply them to real-world problems. It gives you a clear understanding of AI and ML basics, developing supervised learning algorithms, building ML models, the challenges of ML, and how to use deep learning and natural language processing for various applications.
Before enrolling in this machine learning course, you are expected to have basic knowledge of programming and mathematics. A bachelor’s degree along with 2 years of work experience is also recommended.
This Machine Learning course follows an applied learning approach, wherein you will go through a dedicated learning path involving theoretical classes and practical sessions. The syllabus is structured in such a way that basic topics are covered first, and advanced topics are covered later. The program also involves working on industry projects where you get a chance to apply your ML skills in real-world scenarios.
After completing this comprehensive machine learning course, you can explore your skills in job roles like machine learning engineer, data scientist, data analyst, BI developer, AI research scientist, or robotics engineer.
Some of the highest-paying machine learning jobs include machine learning engineer, data scientist, computer vision engineer, NLP scientist, and AI researcher. With our machine learning course, you can become eligible for all these roles.
The total admission fee for this machine learning training program is Rs. 1,53,400. You can check out the easy financing options available for this course to pay the course fee in monthly installments.
Yes, this machine learning course is entirely online. You don’t have to attend any classes at a physical location.
The market for Machine Learning professionals in India is rapidly growing, with an estimated market size of $1.7 billion in 2020 and a projected CAGR of 43.5% from 2021 to 2028. With the rise of AI and automation, there is a high demand for Machine Learning professionals in India. Top companies in India, such as Amazon, IBM, Microsoft, and Google, are actively hiring for various Machine Learning job roles, making it an attractive career option for Indian professionals.
Choosing the best machine learning course for you can be overwhelming. Start by assessing your current level of knowledge and skills in machine learning. Consider your learning style and preferences, including the format and duration of the course. Research the course content, instructor's qualifications, and reviews from previous students. Look for courses that offer hands-on practice and real-world applications. Our machine learning course is also suitable considering all these factors.
Indeed, this machine learning course is suitable for freshers and requires no prior experience.
There are over 25 hands-on projects from companies like Mercedes Benz, Twitter, Uber, and more in which you can work on and apply your ML skills. The projects are based on applying machine learning to solve real-world problems related to areas like social media, e-commerce, manufacturing, edtech, healthcare, entertainment, and consumer electronics.
Yes, this course helps you learn machine learning concepts from scratch directly from the distinguished faculty of IIT Kanpur. Compared to other training programs, this Bootcamp involves live instructor-led training entirely. You will experience world-class learning along with practical exposure through various industry-oriented projects. Moreover, you can make the most of the career mentorship and profile-building sessions offered by Simplilearn.
The masterclasses will provide you with exposure to some of the latest trends in the AI space. Some of the areas covered would include:
*Areas mentioned above are subject to change