Program completion certificate from Purdue University and Simplilearn
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM experts
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
The AI and ML Courses in Chennai includes Python, reinforcement learning, statistics, NLP, machine learning, and deep learning networks. You will learn how to deploy deep learning models on the cloud via AWS SageMaker, build Alexa skills, and access GPU-enabled labs with this AI and ML Certification. You can also explore AI tools like TensorFlow, Scikit-learn, OpenAI Gym, and more.
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 Post Graduate Program in AI and ML is in partnership with Purdue University, one of the world's leading research and teaching institutions, offering higher education at the highest proven value. We are committed to your success, changing the student experience with a focus on collaboration and the creative use of technology.
This program is in collaboration with IBM, a leading innovator in Machine Learning and AI, providing industry-relevant exposure.
JobAssist is an India specific partnership with IIMJobs.com supporting certified learners looking for a new career.
Through the various modules provided in this carefully curated AI and ML course, you will be on your way toward a successful career in AI and ML. You will also explore some of the latest advancements in the AI space such as ChatGPT, generative AI, and explainable AI among others
Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI and ML course on statistics and intelligent computing.
This course helps you establish a firm foundation in mathematical and statistical principles. It focuses 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. This course is a starting point for this program.
Acquire essential Python skills that you will use throughout the program. Leverage Python to implement algorithms, conduct data analysis, and construct intelligent systems effectively and efficiently.
Kickstart your learning by getting an understanding of the Python language and its libraries, writing scripts using the Jupyter-based lab environment with these AI ML course.
Designed by IBM, this course explores using Python for data science. You will learn how to write Python scripts and conduct critical hands-on data analysis using a Jupyter-based lab environment.
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. You will gain experience with unsupervised learning, 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.
Take your machine learning skills to the next level in this course by understanding deep learning with TensorFlow and Keras. You will gain proficiency in deep learning concepts, enabling you to construct artificial neural networks and navigate through layers of data abstraction. By unlocking the potential of data, this course prepares you for new frontiers in Artificial Intelligence.
Explore the basics and practical use cases of deep learning and learn how it differs from machine learning. Topics covered 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. You will gain practical experience and know-how 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.
Implement the skills you will gain throughout this program in this capstone project. You will solve industry-specific challenges by leveraging various AI and ML tools and techniques learned in the program modules. This project will help you showcase your new expertise to potential employers.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
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}
This advanced course offers in-depth knowledge and practical skills in computer vision and deep learning techniques. It covers 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 take a deep dive into the science of applying machine learning algorithms to process vast amounts of natural language data. The primary focus areas include natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, and voice-assisted devices.
This course explores the core concepts of reinforcement learning in depth. You will learn how to solve reinforcement learning problems using various strategies. Leverage Python and TensorFlow to practically apply theoretical concepts to real-world problems. By the end of the course, you will have the skills to use reinforcement learning algorithms as a problem-solving strategy, enabling you to tackle complex tasks and make informed decisions.
These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
AI, the revolutionary digital frontier, has far-reaching impacts on business and society. With the projected exponential growth of the AI market, this course is ideal for individuals striving to stay ahead of this transformative trend!
Candidates can apply to this AI and ML Course in 3 steps. Selected candidates can join the program by paying the admission fee.
Tell us why you’d want to do this AI and ML Course
An admission panel will shortlist candidates based on their application
Selected candidates start the AI and ML Course in 1-2 weeks
Admission to this Post Graduate Program in AI ML Course requires:
2+ years of work experience preferred
A bachelor's degree with an average of 50 percent or higher marks
Basic understanding of programming concepts and mathematics
Our dedicated team of admissions counselors will guide you once you enroll for the AI and ML Course. They are available to:
The admission fee for this AI and ML Course is ₹ 1,49,999 (Incl. taxes). It covers applicable program charges and Purdue Alumni Association membership.
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
(Incl. taxes)
OTHER COHORTS
Date
Time
Batch Type
30 Oct, 2023
08:30 CDT
25 Nov, 2023 - 21 Jul, 2024
07:30 - 11:30 CST
Weekend (Sat - Sun)
Simplilearn’s Post Graduate Program in AI ML Course has been ranked as the best AI and ML course in India by TechGig. Simplilearn has been titled the #1 AI ML Certification Course, based on the following criteria, i.e., depth of curriculum, interactive hands-on learning, program recognition, and student experience.
Machines that simulate "mentally intellectual" capabilities that people identify with the human brain, such as learning, decision making, and problem-solving, are commonly referred to as AI. Healthcare, banking, entertainment, commerce, online shopping, and other industries have all embraced AI, making it a profitable area. A world-renowned credential (particularly from a reputable university) functions as a career stimulant for grabbing the most excellent possibilities in the area.
The study and development of computer systems that can execute activities previously confined to human intellect, such as decision-making and voice recognition, is AI. Machine Learning is a related area that studies how to teach computers to learn and adapt without being explicitly programmed. These closely related disciplines of study are at the bleeding edge of technology and in great demand, so AI ML Certification provide such a huge potential for students.
Machine learning techniques, understanding NLP, and expertise in deep learning algorithms are key technologies you must master to develop AI skills. Simplilearn’s AI and ML courses in Chennai includes all of these and more and will help you become an AI and ML expert in 12 months!
Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in these AI and ML course in Chennai.
You will get a Purdue Alumni Association Membership.
The population of Chennai is more than 10 million, classifying it as a megacity. It is the capital of Tamil Nadu. Chennai is expected to grow to a $100 billion economy, 2.5 times its present size, by the year 2025. As of 2020, the nominal GDP per capita is $8,870 and GDP per capita (PPP) is $16,869. Chennai is situated on the south-eastern coast of India in Tamil Nadu on a flat coastal plain called the Eastern Coastal Plains. The average elevation is around 6.7 meters, and its highest point is 60 m. The climate is hot and humid, due to its closeness to the sea.
There are many temples, beaches, and centers of historical and cultural significance in Chennai.
RMZ Milenia Business Park, Phase 2, Campus 4B, 6th Floor Unit 602A, No 143, Dr. M.G.R Road Kandancavadi, Perungudi Chennai, Tamil Nadu 600096