Top 3 Machine Learning Training Programs for 2023

Colleagues, GlassDoor estimate the average US salary for Machine Learning Engineers at $130,794. Keep your ML skillset up-to-date and earn top dollar for your high demand skills. Here are our top 3 training recommendations for a competitive advantage in 2023. First, is the Machine Learning Engineer program from Udacity. Learn the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker. The program offers an Introduction to Machine Learning, Developing Your First ML Workflow, Deep Learning Topics within Computer Vision and NLP, Operationalizing Machine Learning Projects on SageMaker and Capstone Project: Inventory Monitoring at Distribution Centers. Second is IBM’s Advanced Machine Learning and Signal Processing training. Access to valuable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. We’ll learn about the fundamentals of Linear Algebra to understand how machine learning modes work. Then we introduce the most popular Machine Learning Frameworks for python: Scikit-Learn and SparkML. And third is the Machine Learning Engineering Career Track Program from Springboard. Deploy ML Algorithms and build your own portfolio. More than 50% of the Springboard curriculum is focused on production engineering skills. In this course, you'll design a machine learning/deep learning system, build a prototype and deploy a running application that can be accessed via API or web service.  

Enroll today (teams & execs welcome): 

• Machine Learning Engineer 

• Advanced Machine Learning and Signal Processing 

• Machine Learning Engineering Career Track Program

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Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share with your team) 

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