This machine learning course will equip you with highly coveted skills in ML, deep learning, NLP, generative AI, prompt engineering, ChatGPT, and much more. Through live classes by industry experts, masterclasses from IIT Kanpur faculty, and hands-on projects, you will stay ahead in the field of AI.
Live classes by industry experts along with Masterclasses by distinguished IIT-Kanpur faculty
Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT, and much more
Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs
Resume-building and profile-highlighting assistance with valuable insights from industry experts
This Machine Learning course is designed to boost your AI and ML career by providing a comprehensive understanding of concepts like machine learning, deep learning, natural language processing, reinforcement learning, computer vision, speech recognition, generative AI, explainable AI, prompt engineering, ChatGPT, 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.
The capstone project will allow you to implement the skills you will learn throughout this program. You will solve industry-specific challenges by leveraging various AI and ML techniques learned across various modules in the program. This project will help you showcase your expertise to potential employers.
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
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Develop a shopping app for an E-commerce company using Python
Use data science techniques like time series forecasting, to help a data analytics company forecast demand for different items across restaurants.
Use exploratory data analysis and statistical techniques to understand the factors that contribute to customer acquisition for a retail firm.
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
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 ship entering.
Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.
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 EDA to build a recommendation engine that improves marketing initiatives for historic locations.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
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 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 Artificial Intelligence Course, candidates should have:
For admission to this Machine Learning Course, candidates should have:
Through this course you will gain a holistic understanding of the essentials of generative AI and its landscape, prompt engineering, explainable AI, conversational AI, ChatGPT and other LLMs.
The key learning objectives of this course are:
Some of the key topics covered in the course “Essentials of Generative AI, Prompt Engineering and ChatGPT” are:
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 exponentially over the past few years.
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.
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, 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 in which you can work on and apply your ML skills. The projects are based on applying machine learning to solve industry-relevant problems related to areas like e-commerce, healthcare, entertainment, tourism, production, retail, and much more.
The masterclasses will provide you with exposure to some of the latest trends in the AI space. Some of the areas covered could include:
*Areas mentioned above are subject to change