Become an AI and ML expert with this Machine Learning Course in Bangalore. Learn the latest tools and technologies of the AI world through live classes delivered by industry experts, hands-on labs, Industry-relevant projects and masterclasses from distinguished IIT Kanpur faculty.
Live masterclasses from IIT Kanpur faculty and certificate from E&ICT Academy, IIT Kanpur
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
After completing Simplilearn courses, learners have made successful career transitions, boosted career growth, and got salary hikes.
Maximum salary hike150%
Average salary hike70%
We have curated our curriculum to include crucial topics like Statistics, Machine Learning and many more. Taught through hands-on labs and industry-relevant projects designed to advance your career trajectory, this AI and Machine Learning Course in Bangalore will simplify AI and Machine Learning and equip you with the required skills to get you job ready.
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.
This course establishes a firm groundwork in mathematical and statistical principles focused on enhancing critical thinking, problem-solving, and data analysis abilities to support informed decision-making and the application of relevant mathematical and statistical techniques in various industry contexts. Furthermore, this course acts as a starting point for advancing you within this program.
Acquire essential Python skills that will be utilized throughout the program. Employ Python to effectively implement algorithms, conduct data analysis, and efficiently construct intelligent systems.
This course covers data science essentials like data preparation, model building, and evaluation along with Python concepts like strings, Lambda functions, and lists. Explore NumPy, linear algebra, statistical concepts (e.g., central tendency, dispersion, skewness, covariance, correlation), hypothesis testing (e.g., Z-test, T-test, ANOVA), and data manipulation with pandas. You will also gain data visualization skills using Matplotlib, Seaborn, Plotly, and Bokeh
This course explores diverse machine learning types and their practical applications. You will study the machine learning pipeline and dive into supervised learning, including regression models and classification algorithms. Unsupervised learning will be covered, focusing on clustering techniques and ensemble modeling. Additionally, you will evaluate frameworks like TensorFlow and Keras, and gain hands-on experience with PyTorch to build a recommendation engine.
Discover the basics and use cases of deep learning and grasp the distinction from machine learning. Topics covered would include neural networks, forward/backward propagation, TensorFlow 2, Keras, performance enhancement, model interpretability, CNNs, transfer learning, object detection, RNNs, autoencoders, and PyTorch
This course provides a comprehensive understanding of the latest AI topics, such as generative AI, prompt engineering, and ChatGPT among others. You will gain practical understanding and knowhow of what they are, and how to leverage them for different business applications. You will also explore prompt engineering and its role in generating desired outputs.
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
This advanced course offers in-depth knowledge and practical skills in the field of computer vision and deep learning techniques. It covers a wide range of topics, including image formation and processing, convolutional neural networks, object detection, image segmentation, generative models, optical character recognition, distributed and parallel computing, explainable AI, and deploying deep learning models.
In this advanced course, you will delve into the science of applying machine learning algorithms to process vast amounts of natural language data. The primary areas of focus are natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, and voice assistance devices.
This course explores in depth the core concepts of reinforcement learning. You will learn how to solve reinforcement learning problems using various strategies, leveraging Python and TensorFlow to understand the theory behind them. By the end of the course, you will have acquired the skills to effectively use reinforcement learning algorithms as a problem-solving strategy, enabling you to tackle complex tasks and make informed decisions.
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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.
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.
Artificial Intelligence is the next digital frontier, with profound implications for business and society.
The global AI market size is projected to reach $202.57 billion by 2026
The annual growth rate for the global AI market
Job vacancies in the field of AI, ML, and Data Science by 2026.
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:
The admission fee for this AI and Machine Learning Course is ₹ 1,53,400 (Incl. taxes)
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.
We provide the following options for one-time payment
29 Sep, 2023
21 Oct, 2023 - 25 Aug, 2024
09:00 - 13:00 IST
Weekend (Sat - Sun)
12 Oct, 2023
14 Oct, 2023 - 25 Aug, 2024
19:00 - 23:00 IST
Weekend (Sat - Sun)
For admission to this IIT Machine Learning Course in Bangalore, candidates should have:
Professionals eager to develop AI and ML expertise with the objective of:
The admission process for this IIT Machine Learning Course in Bangalore consists of three simple steps:
As a part of this Best Machine Learning Course in Bangalore you will receive the following:
Upon successful completion of this AI and Machine Learning Course in Bangalore, 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 Online Course in Bangalore could be completed according to your schedule but the anticipated time to complete the overall program is 11 months.
This AI and Machine Learning Course in Bangalore 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 Course in Bangalore.
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 generally divided into three types - Supervised Learning, Unsupervised Learning, and Reinforcement Learning. This Machine Learning course in Bangalore 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 in Bangalore 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 in Bangalore 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.
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