Speed up your career with our extensive AI and ML Certification in Ho Chi Minh, in collaboration with Purdue University and IBM. The AI and ML Course in Ho Chi Minh will help you in successfully formulating for the most rousing technology frontiers of the world.
Earn AI & ML joint certificate from Purdue University and Simplilearn.
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM
Access to 4 live sessions by experts on generative AI, ChatGPT, OpenAI, GPT models, and more
25+ industry relevant projects from the likes of Amazon, Walmart, Uber, Mercedes Benz.
The AI and ML Certification in Ho Chi Minh includes Python, reinforcement learning, statistics, NLP, machine learning, and deep learning networks. This AI and ML Course in Ho Chi Minh will help you learn and deploy deep learning models on the cloud via AWS SageMaker, building Alexa skills, and access labs enabled by GPU.
Key Features |
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Post Graduate Program certificate and Alumni Association membership |
Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more |
3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more |
Master Classes delivered by Purdue faculty and IBM experts |
Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools |
Exclusive hackathons and Ask me Anything sessions by IBM |
In association with Purdue University and in partnership with IBM, this extensive Post Graduate Program in AI and ML Course will assist you in pursuing a career in AI, Computer Vision, Machine learning, and Deep Learning.
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, explainable AI, and GPT models, 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.
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.
With this AI ML Certification course, elevate your Python skills to a new level and establish your mastery of Data Science and Analytics techniques using Python programming.
With these AI and ML Courses, you will master machine learning techniques, including supervised and unsupervised learning and hands-on modeling, rounding out your artificial intelligence education.
AI and ML course include concepts of deep learning to build artificial neural networks and traverse layers of data abstraction and get a solid understanding of deep learning using TensorFlow and Keras.
AI and ML courses advance your skills with real applications of computer vision, generative-adversarial networks (GANs), distributed parallel computing with GPUs, and deployment of deep learning models on the cloud.
At the end of the AI ML course, culminate your new AI and Machine Learning skills with a hands-on, industry-relevant capstone project bringing together every course into one portfolio-worthy capstone.
AI and ML course understand the concepts of NLP, feature engineering, natural language generation, automated speech recognition, speech to text conversion, text to speech conversion, and voice-assistance devices (including building Alexa skills).
AI ML course makes you learn how to solve reinforcement learning problems with various strategies, using Python and TensorFlow, and apply different algorithms to solve problems.
Learn the basics of the Git version control system (VCS) and understand how to set up Git in your system, list the three-stage workflow in Git, create branches and track files, create a repository in Git and GitHub, and more.
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 is a Fundamental course that is covering the basics of ChatGPT and its applications in different domains.
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Using the available dataset, find the factors that influence price negotiations with the real estate domain for buying a new home.
Utilize data-wrangling techniques to understand the pattern in the data and visualize the major types of complaints of service request (311) calls from New York City.
Identify the causes and develop a system to predict heart attacks in an effective manner using the datasets on the factors that might have an impact on cardiovascular health.
Segregate books based on different genres utilizing different techniques in order to bring up the user base for a book rental company
In this project, using the historical data to build a deep learning model to predict the chance of default for future loans.
Develop a face recognition program with deep convolutional neural networks for different applications available today.
Utilize Deep Learning to understand the various factors that can contribute to and detect the occurrence of lung infection.
Develop a deep learning application to automate the detection of diabetic retinopathy and build a proof of concept using the dataset to train a CNN model and deploy it
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
By 2021, IDC predicts Data Science and cognitive computing spending will reach $52.2 billion. Data Scientist is one of the hottest professions.
Annual Job Growth By 2026
Expected New Jobs For Data Science By 2026
Average Annual Salary
These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
As a software engineer, I was working on application development using Oracle forms, SQL, and database languages. I wanted to explore better technologies in the market and got to know that Machine Learning and Big Data revolved around SQL. When I started looking for training institutes, Simplilearn was referred to me. What I liked most about Simplilearn’s AI and ML program was the context of the training and student-to-trainer engagement.
Candidates can apply to this AI and ML Course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
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 and ML requires:
The admission fee for this AI and ML Course is $ 2,990. 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.
Date
Time
Batch Type
19 Jun, 2023
20:30 IT
8 Jul, 2023 - 1 Jan, 2024
20:30 - 00:30 IT
Weekend (Sat - Sun)
Other Cohorts
Date
Time
Batch Type
11 Aug, 2023
20:30 IT
26 Aug, 2023 - 5 Feb, 2024
20:30 - 00:30 IT
Weekend (Sat - Sun)
Simplilearn's AI ML course fee is cost-effective compared to full-time on-campus university post-graduate degree programs. We also offer easy financing options so that you don't have to pay the entire fee at once. Check out our AI and ML course fees below:
Course | Mode | Price |
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Professional Certificate Program in AI and Machine Learning | Online | Rs.2,85,000 |
Simplilearn and Purdue University will grant you a PCP in AI and Machine Learning joint certification when you complete the AI and Ml certification program. After completing the modules on the learning path of ML AI Course, you will get industry-recognized credentials from IBM and Simplilearn.
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 Courses provide such a huge potential for students.
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.
Machine learning methodologies, NLP knowledge, and Deep Learning algorithms expertise are essential technologies to grasp to create AI talents. These and more are covered in Simplilearn's AI and ML course, which can help you become an AI and ML specialist in just 12 weeks.
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The AI job industry is booming, with worldwide revenues expected to reach $191 billion by 2024. According to a World Economic Forum estimate, AI might create 58 million job oriented courses across several areas of the economy over the next few years. AI is already being used in various industries; thus, it makes perfect sense to acquire new skills and pursue an AI profession.
Participants must finish the AI and ML Training coursework and the associated examinations and projects. Professionals will evaluate your class end exams, projects, and capstone projects. To get the AI and ML Certification, you must score over 75% on the examinations, finish the projects satisfactorily, and reply to the trainer's input.
In the domain of AI and machine learning, many of the most prominent career roles include:
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This extensive AI and ML Course was developed in collaboration with Purdue University and IBM. A Purdue University faculty member serves as your AI and ML Certification adviser, and you'll have optimal learning throughout the program. Purdue academics and IBM professionals will give masterclasses to assist you in obtaining a more profound knowledge of AI/ML concepts.
Professionals and students interested in becoming AI engineers should first study the fundamentals of AI, statistical analysis, and data modeling, as well as at least one scripting language like Python or R. After that, they should go on to more sophisticated topics like data processing, manipulation of data, Hadoop, and Computer vision. Deep learning and business analytics technologies such as Tableau or Qlikview can help you advance in your AI career.
AI experts with AI and ML Course training are best suited for industries like information technology, FinTech, healthcare, BFSI, and eCommerce.
Professionals with AI and Machine Learning skills are in great demand across various industries, including Google, Accenture, IBM, Amazon, and Microsoft.
You must meet the following requirements to be admitted to the AI and ML Course online:
This AI ML Course has a three-step application process:
To make sure that money isn't a problem for students' learning, we provide various funding solutions to make our AI and ML Course more reasonable. Please see our "Admissions Fee and Financing" section for further information.
You will receive the following as part of this IBM-sponsored AIML Course:
After completing this AI and ML Certification Course, you will be eligible for the Purdue Alumni Association membership.
Yes, even after completing the AI and ML Certification, you may access the course content.
Even if you have no technical expertise, you may enroll in the AI ML certification course. A rudimentary understanding of programming languages and mathematics, on the other hand, will be advantageous.
Yes, you can enroll in the AI and ML course even if you don’t have any prior knowledge in AI and ML since this course will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical AI and Machine Learning skills.
Simplilearn's AI and ML Certification Course will teach you various top skills and technologies, such as Python, Keras, Tensorflow, Django, and more. You'll receive access to capstone projects in three domains and over 25 hands-on professional assignments to put what you've learned into practice.
Simplilearn and Purdue University have teamed up to provide you with an incredible learning experience. The simplicity and comfort of a digital channel meet the elevated classroom setting. You will acquire 30+ tools and skills in this AI ML certification course, receive masterclasses from Purdue experts, and complete capstone and other industrial projects. And it all happens in a cohort setting, where you learn quicker and more effectively with other similarly motivated professionals.
This AI and ML certification course is open to anybody interested in and loves cutting-edge technology. You must, however, have a bachelor's degree with a minimum grade point average of 50%. However, having a rudimentary grasp of programming languages and mathematics is also advantageous.
We have a staff of specialized admissions counselors that can assist you with your AI and ML Training Course applications.
After you pay the first installment of the AI and ML Course Online program price, you'll get admission to AI ML course sessions, including 8 to 10 hours of self-paced educational video content. Before joining the first class, you must complete the prescribed course.
Our teaching assistants are a devoted team of experts to ensure you pass the AI ML certification exams on your first try. From class enrollment through project mentorship and employment aid, they actively engage and effectively contact you to ensure that the course plan is followed and to help you expand your experiential learning.
Our AI and Machine Learning professors are all industry specialists with years of expertise in the field. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile assessment, technical examination, and a training presentation. We also ensure that only instructors with a high alumnus rating stay on our AI and ML Course staff.
We provide email, chat, and phone help around the clock. We have a trained team that offers on-demand support through our discussion board. Furthermore, even after completing ai ml courses online, you will have unlimited access to the discussion board and forum threads.
Reach us via the form on the right side of any webpage on the Simplilearn website, pick the Live Chat option, or email support and assistance if you cannot access the AI and ML Certification.
This Post Graduate Program in AI and Machine Learning is non-credit and does not lead to a degree.
Post Graduate Programs are certification programs and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our programs are not applicable for WES or similar services.
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.
AI and Machine Learning courses are courses that teach the fundamentals and applications of artificial intelligence (AI) and machine learning (ML), as well bits of data science. This course typically covers topics like data analysis, algorithms, programming, AI and ML application development, and more. AI and ML courses are designed to give students the knowledge and skills needed to analyze data, design algorithms, develop AI and ML applications, and understand the implications of AI and ML on society.
The best AI and ML course is the Purdue AI ML Course. This comprehensive course covers all aspects of AI and ML, from foundational concepts to advanced applications, and provides hands-on projects and real-world case studies for students to gain practical experience. Additionally, Simplilearn offers support from instructors, mentors, and online forums to help students stay on track and answer any questions they have.
Learning ML and AI can be a daunting process, but there are a number of resources available to help you get started. One of the best ways to learn ML and AI is to take online courses from reputable institutions such as Simplilearn. Additionally, there are a number of books and tutorials that can provide an introduction to the concepts and techniques of ML and AI. It is also important to practice coding and to apply what you learn to real-world problems. Finally, networking with other AI and ML professionals can be a great source of knowledge and advice.
Simplilearn's AI ML certification is one of the best available because it provides an in-depth curriculum covering the essential concepts and tools needed to become a successful AI and ML professional. The certification includes courses on topics such as Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. It also includes hands-on projects that allow you to apply your knowledge to real-world problems. Additionally, the program is supported by experienced instructors who are experts in the field, providing guidance and assistance along the way.
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AI certificates can be worth it, depending on the course and the institution offering them. It is important to make sure that the course is from a reputable institution with international recognition and that the course is well-supported with resources and guidance. Additionally, an AI certificate from ai ml courses can help you build a strong foundational knowledge of AI concepts and techniques and demonstrate your expertise in the field to potential employers.
To become an AI and Machine Learning professional, you need to have a solid understanding of the fundamentals of AI and machine learning, including data analysis, data science, programming, algorithms, and AI and ML application development. You also need to have experience in working with AI and ML technologies, such as neural networks, natural language processing, and computer vision. Additionally, you may need to have knowledge of specific frameworks, such as TensorFlow or PyTorch, and a good understanding of mathematics and statistics. You can take AI and ML courses, attend boot camps, or pursue certifications in AI and ML to gain these skills.
The masterclasses will provide you with exposure to some of the latest trends in the AI space. Some of the areas covered include:
*Areas mentioned above are subject to change
NLP courses in the program contribute significantly to a student's knowledge in AI and Machine Learning. NLP is a vital subfield of AI and Machine Learning that focuses on understanding and processing human language. By taking NLP courses, students develop expertise in building NLP models, extracting meaning from text data, and creating language-centric AI applications.