• Application closes on

    5 Mar, 2025
  • Program duration

    6 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Purdue’s Academic Excellence

    Program completion certificate from Purdue University Online and Simplilearn

    Program completion certificate from Purdue University Online and Simplilearn

  • icons
    IBM’s Industry Prowess

    Obtain IBM certificates for IBM courses and get access to masterclasses by IBM experts 

  • icons
    Exposure to latest AI trends

    Live online classes for generative AI, prompt engineering, agent creation, ChatGPT, and more

  • icons
    Hands-on Experience

    Gain experience through 15+ hands-on projects and 18+ tools with seamless access to integrated labs

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

AIML Certification Overview

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

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Program completion certificate from Purdue University Online and Simplilearn
  • Practical exposure to ChatGPT, LLM-based AI solutions, and other AI applications.
  • 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 15+ hands-on projects from various industry domains.
  • Live-online masterclasses delivered by Purdue faculty and staff and IBM experts
  • Access to Purdue’s alumni association membership on program completion
  • Exclusive hackathons and Ask Me Anything sessions by IBM
Key Features
Simplilearn Career Service helps you get noticed by top hiring companies
Program completion certificate from Purdue University Online and Simplilearn
Practical exposure to ChatGPT, LLM-based AI solutions, and other AI applications.
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 15+ hands-on projects from various industry domains.
Live-online masterclasses delivered by Purdue faculty and staff and IBM experts
Access to Purdue’s alumni association membership on program completion
Exclusive hackathons and Ask Me Anything sessions by IBM

AI ML Certification Advantage

Boost your career with an AI and ML certificate. Develop expertise in deep learning, Gen-AI, and AI automation, work on real-world projects, and get industry-recognized credentials. Stay ahead in the AI revolution and unlock top job opportunities.

  • Program Certificate

    Partnering with Purdue University Online

    • Receive a joint certificate from Purdue University Online & Simplilearn
    • Masterclasses by Purdue faculty and staff
    • Purdue University Online Alumni Association membership
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry recognized IBM certificates for IBM courses
    • Masterclasses from IBM experts
    • Access to Ask Me Anything sessions and Hackathons

AI ML Certification Details

This carefully curated program will lead you toward a successful career in AI and ML. You will also explore some of the latest advancements in the AI space, such as ChatGPT and GenAI, create conversational Chatbots, and learn content generation and LLMs.

Learning Path

  • Discover the principles of AI automation, analysis, and much more from this AI ML Course, which is offered in collaboration with Purdue University Online. Begin your AI adventure by enrolling in this AI and ML course.

    • Procedural & OOP understanding
    • Python's Advantages Exploration
    • Jupyter Notebook utilization
    • Implementing identifiers, indentations, comments
    • Python data types, operators, strings
    • Mastery of Python loops
    • OOP principles comprehension
    • Methods, attributes, access modifiers insight
    • Python fundamentals: strings, Lambda functions, and lists
    • NumPy for array manipulation 
    • Linear algebra basics
    • Statistical concepts (central tendency, dispersion, skewness, covariance, correlation)
    • Machine learning pipeline
    • Supervised learning: regression, classification
    • Experience in unsupervised learning: clustering and ensemble modeling
    • Evaluation of TensorFlow and Keras frameworks
    • Explore deep learning vs. machine learning
    • Fundamental concepts & applications covered
    • Neural networks, propagation, TensorFlow 2, and Keras
    • Performance enhancement & model interpretability techniques
    • Transformer Algorithms
    • GANs and VAE
    • ChatGPT Models
    • Large Language Models (LLMs)
    • Neural Networks
    • Introduction to Generative AI
    • Capabilities of Generative AI
    • Tools for Text Generation
    • Tools for Audio and Video Generation
    • Understand Deep Learning and Large Language Models
    • Introduction to Foundation Models
    • Know about Pre-trained Models: Text-to-Text Generation, Text-to-Image Generation, Text-to-Code Generation
    • Hands-on Lab: Develop AI Applications with the Foundation Models
  • Apply the skills you’ve gained in this capstone project, tackling real-world industry challenges using AI and ML tools learned throughout the program. This hands-on experience will strengthen your expertise and help you stand out to potential employers.

Electives:
  • 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. Learn ChatGPT, its architecture, training methodology, and business applications. {*Areas mentioned above are subject to change}

    • Advanced ML algorithms for language data
    • Focus on natural language understanding
    • Feature engineering exploration
    • Natural language generation skills
    • Automated speech recognition is covered
    • Speech-to-text, text-to-speech conversion
    • Voice assistance device development
    • Building Alexa skills emphasis
    • Transformer role in modern AI comprehension
    • Neural networks for generation tasks analysis
    • Different generative model types: VAEs, GANs, transformers, autoencoders
    • Appropriate scenarios for diverse AI models
    • Attention mechanisms' role and efficacy
    • Analyzing popular generative models: GPT, BERT
    • Contrasting model architectures and objectives
    • Getting to Know Our AI Prompting Tool
    • Common Prompt Engineering Tools
    • The Chain-of-Thought Approach in Prompt Engineering
    • The Agentic AI Masterclass dives deep into the next evolution of AI—autonomous AI agents that can plan, reason, and execute complex tasks with minimal human intervention
    • Learn how to design, build, and deploy AI-driven agents

13+ Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Conversational AI
  • Large Language Models
  • Supervised and Unsupervised Learning
  • Model Training and Optimization
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Speech Recognition
  • Machine Learning Algorithms
  • Agentic Frameworks

21+ Tools Covered

ChatGPTMidjourneyDalle.2pythontensorflowkerasNLKTScikitLearnMatPlotlibkubernetesAlexaFlaskClaude3GeminiDescriptZapierJulius.aiInvideo.aiOtter AINumPyOpen CV

Industry Project

  • Project 1

    Ecommerce

    Develop a shopping app for an e-commerce company using Python.

  • Project 2

    Food Service

    Use data science techniques, like time series forecasting, to help a data analytics company forecast demand for different restaurant items.

  • Project 3

    Retail

    Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.

  • Project 4

    Production

    To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.

  • Project 5

    Real Estate

    Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.

  • Project 6

    Entertainment

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

  • Project 7

    Human Resources

    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.

  • Project 8

    Shipping

    Use deep learning tools, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.

  • Project 9

    BFSI

    Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.

  • Project 10

    Healthcare

    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

  • Project 11

    Healthcare

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

  • Project 12

    Automobile

    Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.

  • Project 13

    Tourism

    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 datasets from organizations.

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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors and Trainers

Program Advisors

  • Venkata N Inukollu

    Venkata N Inukollu

    Assistant Professor, Purdue University

    Venkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.

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Program Trainers

  • Simon Travasoli

    Simon Travasoli

    25+ years of experience

    Senior Data Science Consultant at Citi Bank

  • Rocky Jagtiani

    Rocky Jagtiani

    24+ years of experience

    AI and ML Trainer

  • Nikhil Garg

    Nikhil Garg

    16+ years of experience

    Data Science Instructor

  • Nitin Gujral

    Nitin Gujral

    15+ years of experience

    Founder at Cramlays

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Growth Stories

  • Anthony Palomba

    The course enhanced my knowledge of various aspects of AI and ML from the ground up, including Power BI, Python, and more. Earning the certification opened up several exciting opportunities for me. I was offered a position as a consultant at a marketing firm, and I received a promotion at my university—from a temporary to a permanent role—with a 35% salary increase.

    Assistant Professor
    Assistant Professor
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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service that helps you to be career-ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

30-day premium subscription to career.io

30-day premium subscription to career.io

Join the AI and ML industry

AI, the revolutionary digital frontier, has far-reaching impacts on business and society. With the projected exponential growth of the AI market, this program is ideal for individuals striving to stay ahead of this transformative trend!

Job Icon$267 billion

Expected global AI market value by 2027

Source: Fortune Insights
Job Icon37.3%

Projected CAGR of the global AI market from 2023-2030

Source: Grand View Research
Job Icon$15.7 trillion

Expected total contribution of AI to the global economy by 2030

Source: PwC Global

Batch Profile

These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
     course learners from SAP ERP, San Francisco
     course learners from Godrej & Boyce, San Francisco
     course learners from Wells Fargo, San Francisco
     course learners from Accenture, San Francisco
     course learners from ExxonMobil, San Francisco
     course learners from Target, San Francisco
     course learners from Boeing, San Francisco
     course learners from Siemens, San Francisco
     course learners from Infosys, San Francisco
     course learners from All India Institute of Medical Sciences, San Francisco
     course learners from Hewlett-Packard, San Francisco
     course learners from IBM, San Francisco
  • The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Associate - 12%Midlevel - 35%Senior-level - 43%Executive - 10%
    Total Years of Experience
    Less than 3 years - 13%3-5 years - 17%5-8 years - 12%8+ years - 58%
  • The class has learners with varied educational qualifications from excellent institutions
    Qualification
    Bachelors - 65%Masters - 30%Others - 5%
    Universities
     course learners from BITS Pilani, San Francisco
     course learners from IIT Hyderabad, San Francisco
     course learners from IIIT Allahabad, San Francisco
     course learners from McGill University, San Francisco
     course learners from IIT Bombay, San Francisco
     course learners from IIM Kozhikode, San Francisco
     course learners from University of Illinois at Chicago, San Francisco
     course learners from AIIMS, San Francisco
     course learners from NIT Calicut, San Francisco
     course learners from NIT Rourkela, San Francisco
     course learners from IIM Lucknow, San Francisco
     course learners from IIM Indore, San Francisco

Alumni Reviews

The certification helped me join a marketing firm as a consultant. I also got a promotion from a temporary to a permanent position at my university with a 35% increment in my salary.

Anthony Palomba

Assistant ProfessorDarden Business School, University of Virginia

What other learners are saying

Admission Details

Application Process

Candidates can apply to this AI and ML Course in 3 steps. Selected candidates can join the program by paying the admission fee.

STEP 1

Submit Application

Complete the application by providing the required details about yourself.

STEP 2

Reserve Your Seat

Complete the program fee payment via the Secure Your Seat option.

STEP 3

Start Learning

Start your program on the designated cohort start date.

Eligibility Criteria

Admission to this Professional Certificate in AI ML Course requires:

2+ years of work experience preferred
Be at least 18 years old and have a High School Diploma or equivalent
Basic understanding of programming concepts and mathematics

Admission Fee & Financing

The admission fee for this AI and ML Course is $ 4,300. It covers applicable program charges and Purdue Alumni Association membership.

Financing Options

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.

Total Program Fee

$ 4,300

Pay In Installments, as low as

$ 430/month

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

Apply Now

Program Benefits

  • Certificate from Purdue University Online and Simplilearn
  • Learn agentic frameworks, Agent creation, and application
  • Exposure to generative AI, explainable AI, ChatGPT and more
  • Purdue Alumni Association Membership eligibility
  • Rigorous curriculum delivered by industry experts

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

Professional Certificate in AI ML FAQs

  • What is AI and Machine Learning?

    Artificial Intelligence technology (AI) is the study and development of computer science that can perform tasks previously limited to human intelligence, such as decision-making and voice recognition. Machine Learning (ML) is a related field that teaches computers how to learn and adapt without explicit programming. These two fields are closely related and are at the forefront of technological advancements, making them highly in demand. As a result, obtaining an Artificial Intelligence ML Course can offer students great potential for their career growth.

  • What are the eligibility criteria for the AI and ML Courses in San Francisco Bay Area?

    For admission to the AI and ML Courses in San Francisco Bay Area, you should have:

    • A bachelor's degree with an average of 50% or higher marks
    • Basic understanding of programming concepts and mathematics
    • 2+ years of experience (preferred)

  • What is the admission process for this AI and ML Courses in San Francisco Bay Area?

    The admission process consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee

  • Is there any financial aid provided?

    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.

  • What should I expect from the Purdue AI ML Courses in San Francisco Bay Area?

    As a part of this AI ML Courses in San Francisco, in collaboration with IBM, you will receive the following:

    • Purdue Professional Certificate Program certification
    • Industry recognized certificates from IBM(for IBM courses) and Simplilearn
    • Purdue University Alumni status
    • Lifetime access to all (the core) of the e-learning content created by Simplilearn 
    • $1,200 worth of IBM Cloud credits for your personal use
    • Access to IBM Cloud platforms featuring IBM Watson and other cloud services

  • What certificate will I receive?

    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.

  • What is the salary of a machine learning engineer in San Francisco?

    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.

  • What are the major industries in San Francisco?

    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.

  • How to Become an AI Machine Learning Engineer 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,

    • Earn an educational qualification, say PCP AI ML certification training course in San Francisco.
    • Sharpen your technical skills.
    • Learn more about statistics, maths, algorithms and deep learning.
    • Develop your programming skills and learn programming languages like Python, R, C++, etc.
    • Familiarise yourself with natural language processing - linguistics and computer science
    • Do some projects, freelance and internships to understand the industrial nuances.

  • How to Find an AI and ML course 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.

    • Attend educational fairs to find courses and institutions.
    • Browse details on the internet about the courses and check reviews about the institution.
    • Enquire about the courses with alumni and current students who are pursuing the course.
    • If you are confused about how to find them, connect with them using professional software like LinkedIn.
    • Choose the course that is well advanced and satisfies your requirements.

  • What are the financial aids available to enroll in this AI and ML 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.

  • What kind of certification will I get after finishing this AI and ML Course?

    Simplilearn and Purdue University Online will grant you a joint certification in the Professional Certificate in AI and Machine Learning when you complete the AI and ML certification course. You can also get industry-recognized credentials from IBM and Simplilearn.

  • What are the financing options available to enroll in this AI and ML Course?

    We have partnered with multiple partners to provide competitive financing options (EMI option available), including  Low APR with no hidden costs for different tenures. Please refer to the financing section for more details.

  • What is Global Teaching Assistance?

    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.

  • What roles do Purdue University Online and IBM play in Simplilearn's AI and ML Course?

    This comprehensive Artificial Intelligence and ML course has been developed in collaboration with Purdue University Online and IBM to provide optimal learning opportunities throughout the program. An experienced Purdue University faculty member or staff will conduct masterclasses during this program. Also, IBM professionals will conduct masterclasses to help you better understand AI ML concepts.

  • After completing the AI and ML Course, can I be considered a Purdue University alumnus?

    After completing this Artificial Intelligence and ML Certification Course, you will be eligible for the Purdue Alumni Association membership.

  • Why should you take an AI and ML course with Simplilearn?

    Simplilearn and Purdue University Online have collaborated to provide an incredible learning experience. The simplicity and comfort of a digital channel meet the elevated classroom setting. You will acquire 20+ tools and 10+ skills in this AI ML certification course, attend Purdue faculty and staff masterclasses, 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.

  • What are some of the topics and areas that will be covered in the masterclasses?

    The masterclasses will provide you with exposure to some of the latest trends in the AI space. Some of the areas covered include:

    • Generative AI and its Applications
    • Leveraging the power of generative modeling to build innovative products 
    • OpenAI and its Role in NLP and AI
    • Building and deploying GPT-powered applications
    • Demystifying ChatGPT, its architecture, training methodology, and business applications
    • ChatGPT best practices, limitations, and avenues for future development
    • Building real-world applications with the OpenAI API and ChatGPT 
    • Applications of ChatGPT, OpenAI, Dall-E, Midjourney & other tools
    • Explainable AI
    • Chatbots and their uses in companies such as Microsoft, Google, Meta etc.  
    • Latest trends in the AI space 

    *Areas mentioned above are subject to change  

Post Graduate Program in AI and Machine Learning, San Francisco

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:

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.