Top 3 strategies for Machine Learning career success (2026)

Colleagues, Grand View Research projects “The global automated machine learning market size was valued at USD 3.50 billion in 2024 and is projected to reach USD 61.23 billion by 2033, growing at a CAGR of 38.0% from 2025 to 2033.” While Glassdoor estimates the average salary for a Machine Learning Engineer at $159,000 USD this year. First, Get Certified: A high quality cert from a reputable vendor or professional association may boost your income by 5%-10%. Our top recommendation is Machine Learning Specialization that equips you with various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. Next is AWS Certified Machine Learning - AWS Machine Learning-Specialty (ML-S) Certification exam, AWS Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services, Machine Learning Modeling. Finally is the Machine Learning with Python: from Linear Models to Deep Learning program that teaches you the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker, Deep Learning Topics within Computer Vision and NLP, Developing Your First ML Workflow, Operationalizing Machine Learning Projects, and a Capstone Project - Inventory Monitoring at Distribution Centers, Second, Get Published. Write a 1-2 page article on Best Practices or Tech Trends for Medium, LinkedIn Articles or Technology.org. Third, Get Connected. Subscribe to the Data School channel on YouTube (26,000 members). Join Reddit’s Machine Learning group with 110,000 weekly visitors. Then register for the Wolfram Machine Learning discussion forum.

Enroll in one or more programs today (teams & execs welcome): 

• AWS Certified Machine Learning

• Machine Learning Specialization

• Machine Learning with Python: from Linear Models to Deep Learning

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe)