Modern Artificial Intelligence with Zero Coding - Free Downlaod

 Build 5 Practical Projects & Harness the Power of AI to solve practical, real-world business problems with Zero Coding!

What you will learn: Using Google Teachable Machine, build, train, and deploy AI models that can detect people's emotions. Explain the difference between batch size, accuracy, loss, and learning rate.

• Foresee Insurance Installment utilizing Client Highlights like age, smoking propensity and geo-area utilizing AWS artificial intelligence AutoPilot
• Fabricate, train and convey progressed simulated intelligence to recognize cardiovascular infection utilizing DataRobot computer based intelligence
• Influence the force of simulated intelligence to perceive food types utilizing DataRobot computer based intelligence
• Foster a simulated intelligence model to identify and characterize chest infection utilizing X-Beam chest information utilizing Google Workable Machines
• Assess prepared man-made intelligence models utilizing different KPIs like disarray lattice, arrangement exactness, and mistake rate
• List the different benefits of move learning and know when to appropriately apply the procedure to accelerate preparing process
• Comprehend the hypothesis and instinct behind lingering organizations, a cutting edge profound brain networks that are generally taken on in business, and medical care
• Figure out how to prepare different computer based intelligence models in view of XG-Lift, Counterfeit Brain Organizations, Arbitrary Timberland Classifiers and analyze their presentation in DataRobot
• Figure out the effect of classifier limit on Misleading Positive Rate (Aftermath) and Genuine Positive Rate (Responsiveness)
• Figure out how to utilize SageMaker Studio AutoML apparatus to construct, train and convey artificial intelligence/Ml models which requires right around zero coding experience
• Separate between different relapse models KPIs like R2 or coefficient of assurance, Mean outright blunder, Mean Squared mistake, and Root Mean Squared Mistake
• Fabricate, train and send XGBoost-based calculation to perform relapse undertakings utilizing 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 If you don't know how to code, but you want to create powerful AI applications, this course is for you.

Do you feel intimidated by AI but are unsure where to begin?

Or on the other hand perhaps you don't have a software engineering certification and need to break into computer based intelligence?

Do you want to start a business but aren't sure how to get there quickly and effectively using AI to increase profits and cut costs?

This course is for you if you answered yes to any of these questions!

Computerized reasoning is one of the top tech fields to be in this moment!

Similar to how electricity changed our lives 100 years ago, AI will do the same.

Finance, banking, healthcare, transportation, and technology all use AI to great extent. There are a lot of career options and opportunities in this field.

Making AI accessible to anyone who does not have a background in coding or a degree in computer science is the primary issue addressed by this course.

The goal of this course is to teach you important aspects of contemporary AI in a way that is fun, easy, and doesn't involve too much math. Students get hands-on experience using real-world datasets in the course.

We will assume in this course that you have recently been hired as a consultant at a San Francisco start-up. The Chief has entrusted you to apply state of the art simulated intelligence strategies to 5 undertakings. There is just a single proviso, your key information researcher quit on you and don't have any idea how to code, and you really want to create results quick. As a matter of fact, you just have multi week to take care of these key organization issues. You will be given datasets from all of these departments, and you will be given the following tasks to complete:

• 1st Project: Utilizing Google Teachable Machines (Technology), develop an AI model for emotion detection.
• #2 Project: Utilizing Google Teachable Machines (HealthCare), create an AI model that will use X-ray chest data to identify and classify chest diseases.
• #3 Project: Anticipate Insurance Payment utilizing Client Elements like age, smoking propensity, and geo-area utilizing AWS man-made intelligence AutoPilot (Business).
• #4 Project: Recognize Cardiovascular Infection utilizing DataRobot man-made intelligence (Medical services).
• Project #5: Utilizing DataRobot AI (Technology), identify food categories and investigate AI explainability.

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.

Part 1

Part 2

Part 3

Part 4

Part 5