• Admission closes on 17 May, 2024
  • Program Duration 11 months
  • Learning Format Online Bootcamp

Why Join this Program

Purdue’s Academic Excellence

Purdue’s Academic Excellence

Program completion certificate from Purdue University and Simplilearn

IBM’s Industry Prowess

IBM’s Industry Prowess

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

Exposure to latest AI trends

Exposure to latest AI trends

Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT, and much more

Hands-on Experience

Hands-on Experience

Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs

FOR ENTERPRISE

Looking to enroll your employees into this program ?

AIML Course Overview

The AI and ML Course in San Jose 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 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 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 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 IBM experts
Access to Purdue’s alumni association membership on program completion
Exclusive hackathons and Ask Me Anything sessions by IBM

AI ML Certification Course Advantage

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.

  • Program Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Masterclasses by Purdue faculty
    • Purdue University 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 and ML Course Details

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

Learning Path

  • 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.

    • AI areas: generative AI, prompt engineering, and ChatGPT.
    • Practical learning: Gain hands-on experience to utilize these technologies
    • Focus on prompt engineering: Understand its significance in producing specific outputs.
    • Comprehensive insights: Learn how to leverage AI advancements for practical business solutions.
    • 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
    • IBM-designed course on Python for data science.
    • Python scripting proficiency.
    • Hands-on data analysis using Jupyter Lab.
    • Python fundamentals emphasized: strings, Lambda functions, and lists.
    • NumPy for array manipulation 
    • Linear algebra basics
    • Statistical concepts (central tendency, dispersion, skewness, covariance, correlation).
    • Hypothesis testing methods covered: Z-test, T-test, ANOVA, and pandas data manipulation.
    • Data visualization skills acquired: Matplotlib, Seaborn, Plotly, and Bokeh libraries
    • Studying the machine learning pipeline.
    • Supervised learning: regression, classification.
    • Experience in unsupervised learning: clustering and ensemble modeling.
    • Evaluation of TensorFlow, and Keras frameworks.
    • Hands-on with PyTorch for recommendation engines.
    • Comprehensive understanding of ML approaches & applications.
    • Elevate ML skills with deep learning.
    • Learn TensorFlow and Keras.
    • Proficiency in deep learning concepts.
    • Construct artificial neural networks.
    • Navigate data abstraction layers.
    • Unlock data potential for AI advancements.
    • Explore deep learning vs. machine learning.
    • Fundamental concepts & applications covered.
    • Topics include neural networks, propagation, TensorFlow 2, and Keras.
    • Performance enhancement & model interpretability techniques.
    • CNNs, transfer learning, object detection.
    • RNNs, autoencoders, PyTorch neural networks.
    • Effective building & optimizing models with Keras, and TensorFlow.
  • 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.

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 Demystifying ChatGPT, its architecture, training methodology, and business applications, and Applications of ChatGPT. {*Areas mentioned above are subject to change}

    • Advanced computer vision & deep learning.
    • In-depth knowledge & practical skills focus.
    • Topics: image formation, CNNs, object detection.
    • Image segmentation, generative models.
    • Optical character recognition covered.
    • Distributed & parallel computing.
    • Explainable AI (XAI) exploration.
    • Deep learning model deployment skills.
    • 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.
    • RL core concepts exploration.
    • Problem-solving skills in RL.
    • Strategies in Python, TensorFlow.
    • Theoretical RL foundations learning.
    • Practical RL algorithm application.
    • Proficiency in diverse applications.
    • Effective use of RL in scenarios.
    • 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.

Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Conversational AI
  • Large Language Models
  • Supervised and Unsupervised Learning
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition
  • Machine Learning Algorithms

Tools Covered

ChatGPTMidjourneyDalle.2pythontensorflowkerasNLKTScikitLearnMatPlotlibAmazon SagemakerkubernetesAlexaFlask

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 data-sets of the mentioned organizations.

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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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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help 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

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

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 course 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 Jose
     course learners from Godrej & Boyce, San Jose
     course learners from Wells Fargo, San Jose
     course learners from Accenture, San Jose
     course learners from ExxonMobil, San Jose
     course learners from Target, San Jose
     course learners from Boeing, San Jose
     course learners from Siemens, San Jose
     course learners from Infosys, San Jose
     course learners from All India Institute of Medical Sciences, San Jose
     course learners from Hewlett-Packard, San Jose
     course learners from IBM, San Jose
  • 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 Jose
     course learners from IIT Hyderabad, San Jose
     course learners from IIIT Allahabad, San Jose
     course learners from McGill University, San Jose
     course learners from IIT Bombay, San Jose
     course learners from IIM Kozhikode, San Jose
     course learners from University of Illinois at Chicago, San Jose
     course learners from AIIMS, San Jose
     course learners from NIT Calicut, San Jose
     course learners from NIT Rourkela, San Jose
     course learners from IIM Lucknow, San Jose
     course learners from IIM Indore, San Jose

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 Professor

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

Tell us why you’d want to do this AI and ML Course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates start the AI and ML Course in 1-2 weeks

Eligibility Criteria

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

Admission Fee & Financing

The admission fee for this AI and ML Course is $ 4,800. 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.

Pay in Installments

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

ClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 4,800

Apply Now

Program Benefits

  • Program certificate from Purdue University and Simplilearn
  • Exposure to generative AI, explainable AI, ChatGPT and more
  • Understand the applications of prompt engineering
  • Purdue Alumni Association Membership eligibility
  • Rigorous curriculum delivered by industry experts

Program Cohorts

Next Cohort

Other Cohorts

Got questions regarding upcoming cohort dates?

AI and ML Course 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 Professional Certificate Program in AI and Machine Learning in San Jose?

    For admission to the Professional Certificate Program in AI and Machine Learning in San Jose, 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 are the financial aids available to enroll in this program?

    To ensure money is not a barrier in the path of learning, we offer various financing options to help you find this Professional Certificate Program in AI and Machine Learning in San Jose more affordable. Please refer to our “Admissions Fee and Financing” section for more details. We have partnered with Affirm to provide competitive financing options(EMI option available) including 0%APR with no hidden costs for different tenures.

  • What is the application procedure for this AI & ML Course?

    This Artificial Intelligence ML Course has a three-step application process:

    • All interested applicants must apply online for the AI & ML Course using the application form.
    • Candidates will be shortlisted by an admissions panel based on their application.
    • The shortlisted candidates will be offered admission, which they must accept by paying the Artificial Intelligence ML Certification program cost.

  • What should I expect from the Purdue Professional Certificate Program in AI and Machine Learning in San Jose?

    As a part of this Professional Certificate Program, in collaboration with IBM, you will receive the following:

    • Simplilearn-Purdue University Joint Certification
    • Industry recognized certificates from IBM(for IBM- AI ML courses) and Simplilearn
    • Purdue University Alumni status
    • Lifetime access to all (the core) of the e-learning content created by Simplilearn
    • Access to IBM Cloud platforms featuring IBM Watson and other cloud services

  • What certificate will I receive after the completion of Simplilearn's AI and ML course in San Jose?

    Upon successful completion of the program in San Jose, you will be awarded a Professional Certificate Program in AI and Machine Learning joint certification by Simplilearn and Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.

  • Will there be any resources offered to assist me in getting started?

    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.

  • 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.

  • Who are the instructors for this AI and ML Certification, and how are they selected?

    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.

  • If I am unable to access the AI and ML Course. Who can assist me?

    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.

  • What does the 24/7 Support guarantee cover?

    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.

  • Can I obtain reimbursement if I wish to discontinue my enrollment?

    If required, you can withdraw your enrollment. After subtracting an administration charge, we will reimburse the program money. Please view our Refund Policy for more information.

  • What is AI, or Artificial Intelligence?

    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.

  • What technologies are employed in the development of AI abilities?

    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.

    Take Your Tech Skills to the Next Level: Find More Software Courses.

  • What is the current state of the AI and machine learning job market?

    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.

  • How will I be evaluated during this Artificial Intelligence & ML Course?

    Participants must finish the Artificial Intelligence ML course work and the associated examinations and projects. Professionals will evaluate your Artificial Intelligence classes and 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.

  • What roles do Purdue University 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 and IBM, with the aim of providing optimal learning opportunities throughout the program. An experienced Purdue University faculty member will be providing guidance and support as you delve into the world of AI. Additionally, Purdue academics and IBM professionals will conduct masterclasses to help you acquire a deeper understanding of AI ML concepts.

  • What are the most common AI and Machine Learning job titles?

    In the domain of AI and machine learning, many of the most prominent career roles include:

    • Machine Learning Engineer
    • Deep Learning Engineer
    • NLP Engineer
    • Artificial Intelligence Engineer
    • AI Architect
    • Technical Product Manager
    • Data Scientist

    Take Your Skills to the Next Level: Explore More Computer Courses.

  • What is the best route for AI and Machine Learning professionals?

    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.

  • What is the salary of an AI and Machine Learning expert in San Jose?

    The average annual income for an AI and Machine Learning professional in San Jose is currently $179010. AI and machine learning are the upcoming or latest technology with enormous potential for development. The demand for professionals who have finished the PCP Program in AI and Machine Learning in San Jose is quite high offering unlimited growth opportunities.

  • What are the major companies hiring AI and Machine Learning experts in San Jose?

    AI and Machine Learning professionals in San Jose help organisations stay ahead of the competition by teaching them how to use advanced technology, deep learning, robotics, and automation. News Corp. Class A, Adobe, Apple, The Mice Groups, Inc., and others are among the companies hiring graduates of the in AI and ML Certification in San Jose.

  • What are the major industries in San Jose?

    San Jose is one of the fastest-growing economies offering wide scope to manufacturing, professional services, technical services, healthcare, social service, and utilities. The city is one of the fastest developing ones offering a great scope for the future. The PC Program in AI and Machine Learning in San Jose is one of the most in-demand programmes to satisfy the changing needs of the business world.

  • Is there any minimum education qualification required to apply for this AI and ML course?

    Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in Simplilearn’s AI and ML courses in San Jose.

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

    Simplilearn and Purdue University will grant you a joint certification in the Post Graduate Program in AI and Machine Learning when you complete the AI and ML certification course. After completing the modules on the AI and ML Course learning path, you will get industry-recognized credentials from IBM and Simplilearn.

  • 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.

  • Can I enroll in an Artificial Intelligence and ML course without any prior technical knowledge or experience in Artificial Intelligence and ML?

    Yes, absolutely! Our AI and ML course is designed to accommodate learners from diverse backgrounds, including those without any prior technical expertise. These Artificial Intelligence courses typically start from the fundamentals, gradually introducing concepts and techniques to help you build a solid understanding of AI and ML.

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

    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.

  • How to become an Artificial Intelligence ML professional?

    To become an AI ML 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 Artificial Intelligence and ML to gain these skills.

    .

  • 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 Jose

With a total population of 1021795 according to 2019 statistics, San Jose is the tenth most populous city of the powerful country USA. Covering a total space of 179.97 square miles, San Jose is a beautiful city of California. San Jose is also the place with the most millionaires and billionaires per capita in the United States. The CSA San Jose collaborates with a GDP of $1.03 trillion in 2018 with San Francisco.

Known As the Capital Of Silicon Valley, San Jose experiences a warm-summer Mediterranean climate. San Jose, California's most populous and largest city, is renowned as Silicon Valley's cultural, financial, and political hub. San Jose is nestled between the Diablo and Santa Cruz mountain ranges to the east and west, in the Santa Clara Valley, making it an even more exciting place.

San Jose is one of the most beautiful cities in the world to visit. It provides the most thrilling sites to see and enjoy. Parks, beaches, observatories, museums, gardens, landmarks, bridges, and even squares are all interesting places to visit. There are several locations to visit, however here are a few notable ones:

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