Colleagues, the “AWS Certified Machine Learning - Specialty” program offers an overview of concepts with hands-on work using Visual Studio with Python and AWS tools like Kinesis and EMR. Learn effective tips and techniques for passing the AWS Certified Machine Learning - Specialty exam. Identify and implement data ingestion solutions with Kinesis. Evaluate ML models. Deploy ML models with AWS tools. Skill-based lessons include: 1) Data Engineering - Create data repositories for machine learning, Identify and implement a data ingestion solution, Decide between ingestion tools, Identify and implement a data transformation solution, Get some practice: questions and exercises, 2) Exploratory Data Analysis - Sanitize and prepare data for modeling, Perform feature engineering, Analyze data for machine learning, Visualize data for machine learning, 3) Training Models - Frame business problems as machine learning problems, Select the appropriate model for a machine learning problem, Understand the intuition behind the model, Train machine learning models, Choose compute option, 4) Evaluating Models - Perform hyperparameter optimization, Use other methods for hyperparameter optimization, Evaluate machine learning models, Compare models with different metrics, Implement machine learning best practices, and 5) Machine Learning Implementation and Operations - Build machine learning solutions for production, Address scaling concerns, Recommend and implement the appropriate machine learning services, Apply basic AWS security practices to machine learning solutions, and Deploy and operationalize machine learning solutions.
Enroll today (teams & executives are welcome): https://tinyurl.com/36u5755x
Download your free complimentary Cloud Computing - Career Transformation Guide.
For your reading pleasure consider:
1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)
2 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle)
3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle)
Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)
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