No-Code Machine Learning: Practical Guide to Modern ML Tools
What you'll learn
- Master Machine Learning fundamentals without any intimidating mathematics and without writing a single line of code!
- Build, Train and Deploy machine learning models that could predict loan default using customer features such as income, debt to income ratio, employment, and loan term using Microsoft Azure.
- Master Google Vertex AI to automate the process of building and training machine learning models at scale.
- Understand trained machine learning models by exploring feature importance.
- Learn how to create multiple experiments using DataRobot AI and perform hyperparameter optimization.
- Learn how to train multiple cutting-edge machine learning models using DataRobot AI and deploy the best model.
Course content
- Preview02:07
- 07:13Best Practices, Success Tips and Certification
- Preview09:32
- 12:35Machine Learning: The Big Picture
- 12:31Machine Learning Key Elements (Recipe!)
- Preview09:03
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 Machine Learning fundamentals and directly apply these skills to solve real world challenging problems.
Description
Do you want to leverage the power of Machine Learning without writing any code?
Do you want to break into Machine Learning, but you feel overwhelmed and intimidated?
Do you want to leverage Machine Learning for your business, but you don’t have data science or mathematics background?
If the answer is yes to any of these questions, you came to the right place!
This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale.
Machine Learning is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects.
Machine learning is the study of algorithms that teach computers to learn from experience. Through experience (i.e.: more training data), computers can continuously improve their performance. Machine Learning techniques are widely used in several sectors nowadays such as banking, healthcare, transportation, and technology.
In this course, we will cover top 3 brand new tools to build, train and deploy cutting edge machine learning models without writing a single line of code! We will cover the new Google Vertex AI, Microsoft Azure Machine Learning Designer, and DataRobot AI.
Who this course is for:
- Anyone who’s interested in building practical real-world Machine Learning applications but doesn’t have any coding skills (or have basic coding skills).
- Beginner Machine Learning engineers wanting to advance their careers and build their portfolio without writing any code.
- Business owners wanting to transform businesses by leveraging machine learning.
- Beginner Data Scientists who are passionate about Machine Learning and want to gain real-world practical experience.
Instructors
![Dr. Ryan Ahmed, Ph.D., MBA](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.5 Instructor Rating
- 21,318 Reviews
- 252,073 Students
- 32 Courses
Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan's mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business.
Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 200,000+ students globally. He has over 15 published journal and conference research papers on state estimation, AI, Machine learning, 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), 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
- 508,076 Reviews
- 1,802,341 Students
- 118 Courses
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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
- 25,411 Reviews
- 431,420 Students
- 58 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 430,000 + 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.