Top 3 strategies for Deep Learning career success (2026)

Colleagues, Grand View Research estimates “The global deep learning artificial intelligence market size was valued at US$ 98,723.0 million in 2025 and is estimated to grow at a compound annual growth rate (CAGR) of 26.9% from 2025 to 2033.” While Glassdoor projects the average salary for a Deep Learning Engineer at $151,000 USD this 2026 (compensation will vary based on location and experience level).

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 Generative Deep Learning with TensorFlow that equips you with various deep learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. Next is Deep Learning and Reinforcement Learning which covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant Deep 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. And third, Get Connected. Subscribe to the Data School channel on YouTube (26,000 members). Join Reddit’s Deep Learning group with 110,000 weekly visitors. Then register for the Wolfram Deep Learning with Wolfram Neural Networks community.

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

• Deep Learning and Reinforcement Learning

• Generative Deep Learning with TensorFlow

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

Much career success, Artificial Intelligence Academy (share & subscribe with your colleagues)