Modern Artificial Intelligence with Zero Coding
What you'll learn
- Build, train and deploy AI models to detect people emotions using Google Teachable Machine
- Explain the difference between learning rate, epochs, batch size, accuracy and loss.
- Predict Insurance Premium using Customer Features such as age, smoking habit and geo-location using AWS AI AutoPilot
- Build, train and deploy advanced AI to detect cardiovascular disease using DataRobot AI
- Leverage the power of AI to recognize food types using DataRobot AI
- Develop an AI model to detect and classify chest disease using X-Ray chest data using Google Teachable Machines
- Evaluate trained AI models using various KPIs such as confusion matrix, classification accuracy, and error rate
- List the various advantages of transfer learning and know when to properly apply the technique to speed up training process
- Understand the theory and intuition behind residual networks, a state-of-the-art deep neural networks that are widely adopted in business, and healthcare
- Learn how to train multiple AI models based on XG-Boost, Artificial Neural Networks, Random Forest Classifiers and compare their performance in DataRobot
- Understand the impact of classifier threshold on False Positive Rate (Fallout) and True Positive Rate (Sensitivity)
- Learn how to use SageMaker Studio AutoML tool to build, train and deploy AI/Ml models which requires almost zero coding experience
- Differentiate between various regression models KPIs such as R2 or coefficient of determination, Mean absolute error, Mean Squared error, and Root Mean Squared Error
- Build, train and deploy XGBoost-based algorithm to perform regression tasks using AWS SageMaker Autopilot
Requirements
- The course has no prerequisites and is open to anyone with no or basic programming knowledge. Students who enroll in this course will master AI fundamentals and directly apply these skills to solve real world challenging problems.
Description
Do you want to build super-powerful applications in Artificial intelligence (AI) but you don’t know how to code?
Are you intimidated by AI and don’t know where to start?
Or maybe you don’t have a computer science degree and want to break into AI?
Are you an aspiring entrepreneur who wants to maximize business revenue and reduce costs with AI but don’t know how to get there quickly and efficiently?
If the answer is yes to any of these questions, then this course is for you!
Artificial intelligence is one of the top tech fields to be in right now!
AI will change our lives in the same way electricity did 100 years ago.
AI is widely adopted in Finance, banking, healthcare, transportation, and technology. The field is exploding with opportunities and career prospects.
This course solves a key problem which is making AI available to anyone with no coding background or computer science degree.
The purpose of this course is to provide you with knowledge of key aspects of modern AI without any intimidating mathematics and in a practical, easy, and fun way. The course provides students with practical hands-on experience using real-world datasets.
In this course, we will assume that you have been recently hired as a consultant at a start-up in San Francisco. The CEO has tasked you to apply cutting-edge AI techniques to 5 projects. There is only one caveat, your key data scientist quit on you and do not know how to code, and you need to generate results fast. In fact, you only have one week to solve these key company problems. You will be provided with datasets from all these departments and you will be asked to achieve the following tasks:
Project #1: Develop an AI model to detect people's emotions using Google Teachable Machines (Technology).
Project #2: Develop an AI model to detect and classify chest disease using X-Ray chest data using Google Teachable Machines (HealthCare).
Project #3: Predict Insurance Premium using Customer Features such as age, smoking habit, and geo-location using AWS AI AutoPilot (Business).
Project #4: Detect Cardiovascular Disease using DataRobot AI (HealthCare).
Project #5: Recognize food types and explore AI explainability using DataRobot AI (Technology).
Who this course is for:
- Seasoned consultants who don’t possess coding skills (or have basic coding skills) and wanting to transform businesses by leveraging AI.
- Visionary business owners who want to harness the power of AI to maximize revenue, reduce costs and optimize their business.
- AI Practitioners wanting to advance their careers and build their portfolio.
- Tech enthusiasts who are passionate about AI and want to gain real-world practical experience.
Instructors
- 4.5 Instructor Rating
- 38,148 Reviews
- 364,430 Students
- 48 Courses
Dr. Ryan Ahmed is a professor and best-selling online instructor who is passionate about education and technology. Ryan has extensive experience in both Technology and Finance. Ryan holds a Ph.D. degree in Engineering from McMaster* University with a focus on Mechatronics and Electric Vehicles. He also received a Master of Applied Science degree from McMaster, focusing on Artificial Intelligence (AI) and fault detection, and an MBA in Finance from the DeGroote School of Business.
Ryan held several engineering positions at top technology companies globally, such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. He has taught 46+ courses on Science, Technology, Engineering, and Mathematics to over 325,000+ students from 160 countries with 29,000+ 5 stars reviews and an overall rating of 4.5/5. Ryan also leads a YouTube Channel titled “Prof. Ryan Ahmed” (~1M views & 27,000+ subscribers) that teaches people about Artificial Intelligence, Machine Learning, and Data Science.
Ryan has over 33 published journal and conference research papers on artificial intelligence, machine learning, state estimation, battery modeling, and EV controls. He is the co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA. Ryan is a Stanford Certified Project Manager (SCPM), a certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE). He is also the program Co-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC’17) in Chicago, IL, USA.
* McMaster University is one of only four Canadian universities consistently ranked in the top 100 in the world.
- 4.5 Instructor Rating
- 677,204 Reviews
- 2,655,577 Students
- 110 Courses
Hi there,
We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more!
We are here to help you stay on the cutting edge of Data Science and Technology.
See you in class,
Sincerely,
The Real People at Ligency
- 4.5 Instructor Rating
- 701,022 Reviews
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- 151 Courses
Hi there,
We are the SuperDataScience team. You will hear from us when new SuperDataScience courses are released, when we publish new podcasts, blogs, share cheat sheets, and more!
We are here to help you stay on the cutting edge of Data Science and Technology.
See you in class,
Sincerely,
SuperDataScience Team!
- 4.5 Instructor Rating
- 40,738 Reviews
- 559,832 Students
- 70 Courses
Mitch is a Canadian filmmaker from Harrow Ontario, Canada. In 2016 he graduated from Dakota State University with a B.S, in Computer Graphics specializing in Film and Cinematic Arts.
Currently, Mitch operates as the Chairman of Red Cape Studios, Inc. where he continues his passion for filmmaking. He is also the Host of Red Cape Learning and Produces / Directs content for Red Cape Films.
He has reached over 540,000 + Students on Udemy and Produced more than 3X Best-Selling Courses.
Mitch is currently working Producing Online Educational Courses thru Red Cape Studios Inc.
Winning several awards at Dakota State University such as "1st Place BeadleMania", "Winner College 10th Anniversary Dordt Film Festival" as well as "Outstanding Artist Award College of Arts and Sciences".
Mitch has been Featured on CBC's "Windsors Shorts" Tv Show and was also the Producer/Director for TEDX Windsor, featuring speakers from across the Country.