• Next Cohort starts 15 Mar, 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 Certification in Melbourne includes Python, reinforcement learning, statistics, NLP, machine learning, and deep learning networks. With this AI and ML Course in Melbourne you can deploy deep learning models on the cloud via AWS SageMaker, build Alexa skills, access GPU-enabled labs, and do much more.

Key Features

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

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 A$ 3,990. 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 payment option with 0% interest and no hidden fees.

Splitit

One Time Payment

Make hassle-free one-time payment with following options and save on admission fees

  • Credit Card
  • Paypal

A$ 3,990

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?

    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.

  • What are the eligibility criteria for the Professional Certificate Program in AI and Machine Learning in Melbourne?

    For admission to the Professional Certificate Program in AI and ML Course in Melbourne, 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 Professional Certificate Program in AI and Machine Learning in Melbourne?

    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 AI and ML Certification 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 and ML Course in Melbourne more affordable. Please refer to our “Admissions Fee and Financing” section for more details.

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

    As a part of this AI and ML Course in Melbourne, 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 AI and ML Course in Melbourne, you will be awarded a Professional Certificate Program in AI and ML certification 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.

  • How will I be evaluated during this AI and ML course?

    Participants must finish the AI ML course in Melbourne coursework and the associated examinations and projects. Professionals will evaluate your class end exams, projects, and capstone projects. To get the Program in AI and Machine Learning, you must score over 75% on the examinations, finish the projects satisfactorily, and reply to the trainer's input.

  • Is there a minimum educational requirement to enroll in this AI and ML course?

    If you want to enroll in these AI and ML courses in Melbourne, you must have a bachelor's degree with a 50 percent (or greater) average.

  • 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.

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

    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.

  • 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.

  • Which sectors are the best fit for AI and Machine Learning specialists?

    AI experts with AI and ML Course training are best suited for industries like information technology, FinTech, healthcare, BFSI, and eCommerce.

  • What are the top firms that hire AI and Machine Learning experts?

    Professionals with AI and Machine Learning skills are in great demand across various industries, including Google, Accenture, IBM, Amazon, and Microsoft.

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

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

  • Will I be able to access the content once the AI and ML course is completed?

    Yes, even after completing the AI and ML Certification, you may access the course content.

  • I come from a non-technical family. Is it still possible for me to enroll in this AI and ML course?

    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.

  • Can I enroll in an AI and ML course if I don't have any prior knowledge in both AI and ML?

    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.

  • What will you study in the AI and ML course at Simplilearn?

    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.

  • 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.

  • Who can take this effective AI and ML course?

    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.

  • How will my doubts and queries be addressed in an online AI and ML Course?

    We have a staff of specialized admissions counselors that can assist you with your AI and ML Training Course applications.

  • 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.

  • 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.

  • 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.

  • Can I get a sealed transcript for World Education Services (WES) at the end of the program?

    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.

  • What is the ranking of Simplilearn's AI and ML course?

    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.

  • What are AI and ML courses?

    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.

  • Which AI and ML course is best?

    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.

  • How to learn ML and AI?

    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.

  • Which certification is best for AI ML?

    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.

  • Are AI certificates worth it?

    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.

  • How do you become AI ML professional?

    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.

  • 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  

  • How do NLP courses in the program contribute to a student's knowledge in AI and Machine Learning?

    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.

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