Put your career in the fast lane with our extensive AI and ML Course in San Francisco, in collaboration with Purdue University and IBM. Simplilearn’s AI and ML certification involves a cutting-edge curriculum, higher live interaction, masterclasses, hackathons, and hands-on industry projects to give you a rich learning experience. Become an AI expert today with our AI and ML course in San Francisco and increase your marketability in this domain.
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 Course in San francisco 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.
Key Features |
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Simplilearn Career Service helps you get noticed by top hiring companies |
Program completion certificate from Purdue University and Simplilearn |
Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools |
Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more |
Core curriculum delivered in live classes by industry experts |
3 capstones and 25+ hands-on projects from various industry domains |
Live-online masterclasses delivered by Purdue faculty and industry experts |
Access to Purdue’s alumni association membership on program completion |
Exclusive hackathons and Ask Me Anything sessions by IBM |
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.
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.
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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 restaurant items.
Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.
To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.
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 tools, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.
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.
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!
Expected global AI market value by 2027
Projected CAGR of the global AI market from 2023-2030
Expected total contribution of AI to the global economy by 2030
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 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:
The admission fee for this AI and ML Course is $ 4,500. 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.
You can pay monthly installments for Post Graduate Programs using Splitit, Affirm, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
Date
Time
Batch Type
25 Sep, 2023
08:30 CDT
21 Oct, 2023 - 10 Jun, 2024
08:30 - 12:30 CDT
Weekend (Sat - Sun)
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)
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.
For admission to the AI and ML Courses in San Francisco Bay Area, you should have:
The admission process consists of three simple steps:
To ensure money is not a barrier in the path of learning, we offer various financing options to help you find this AI ML Certification in San Francisco Bay Area more affordable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this AI ML Courses in San Francisco, in collaboration with IBM, you will receive the following:
Upon successful completion of the program in San Francisco Bay Area, you will be awarded a AI and ML certification in San Francisco by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.
The annual average salary of a machine learning engineer in San Francisco is $112,917. A PGP in AI ML Certification in San Francisco can certainly increase your chances when negotiating for a good salary.
San Francisco has a number of major industries. Professional services such as financial services and high technology make up a big part of the city’s economy. Companies from these industries will always be on the lookout for those that have done their AI and ML Certification in San Francisco.
An AI machine learning engineer is expected to have an analytical thought process that will aid in solving problems with cost-effective and efficient solutions. AI machine learning engineers should also have profound knowledge and insight into technological innovations.
Here is how you can become an AI machine learning engineer in San Francisco,
AI is one of the leading areas of development. This has created a lot of interest among people to enter into the field. All that you need to get the right job is a good course. The education and training provided will help you learn the nuances and understand both theoretical and practical knowledge.
Here are a few methods to find courses in the PGP AI ML certification training course in San Francisco.
We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.
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.
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.
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.
This Post Graduate Program in AI and Machine Learning is non-credit and does not lead to a degree.
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:
Take Your Skills to the Next Level: Explore More Computer Courses.
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 with AI and Machine Learning skills are in great demand across various industries, including Google, Accenture, IBM, Amazon, and Microsoft.
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.
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.
Discover similar online certifications here.
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.
San Francisco is popular worldwide, mainly because the city frequently gets mentioned in music, movies and other pop culture references. Most of the locations in San Francisco are quite recognizable even for people who may not have ever set foot in the city. Nearly 40% of the residents in San Francisco were born outside the United States, making it a very diverse city.
Because of the famous California Gold Rush in 1849, San Francisco became an important city and aided its rapid growth. The city had a GDP of $203.5 billion in 2019, with the GDP per capita coming to $230,829. It also became the birthplace of the United Nations.
There are quite a few places to visit in San Francisco. The Golden Gate Bridge is an obvious location to go to, as is the famous Alcatraz Island. The Alamo Square Park is also a must visit place. Some more places to visit in San Francisco include:
201 Spear Street, Suite 1100 San Francisco, CA 94105 United States