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) 

The AI Sentinel (January 2026)

Colleagues, our goal is to provide AI professionals with up-to-date and actionable information to advance your career and income growth.

Product Launches & Innovations: 

• AgenticOps - Cisco SystemsAutonomous Network Lifecycle (Cisco)

• Blackwell Superfactories - NVIDIA Liquid-Cooled AI Infrastructure (NVIDIA)

• Claude 5 Reasoning Engine - Anthropic Multi-step Contextual Planning (Anthropic)

• Gemini 3.0 (Enterprise) Google DeepMind Real-time 60fps Video Reasoning (Google)

• Llama 4 (General Availability) - MetaAgentic Tool-Orchestration (Meta)

AI & Cybersecurity:

• 6 Cybersecurity Predictions for the AI Economy in 2026 (Harvard Business Review)

• 2026 Cybersecurity Predictions: Preparing for the AI and Quantum Era (BATM Networks)

• AI Economy 2026: Top Cybersecurity Predictions Leaders Must Know (USCSI®) 

• Cybersecurity Snapshot: Predictions for 2026: AI Attack Acceleration and Automated Remediation (Tenable)

• Preparing for Threats to Come: Cybersecurity Forecast 2026 (Google Cloud)

Featured Resources:

• 10 AI Predictions For 2026 (Forbes)

• AI paradoxes: 5 contradictions to watch in 2026 (World Economic Forum)

• Managing AI Systems (CMU)

• Stanford AI Experts Predict What Will Happen in 2026 (Stanford HAI)

• UiPath 2026 AI and Agentic Automation Trends Report (UiPath)

Events:

• AAAI 2026 Expo (Singapore - January 20–27)

• CES 2026 - AI Track (Las Vegas, USA - January 6-9)

• Chief AI Officer (CAIO) Exchange (London, UK - Feb 25–26)

• Global AI Show (Riyadh, Saudi Arabia - February 9–10)

• NVIDIA GTC AI Conference (San Jose, CA - March 16–19)

• SANS AI Cybersecurity Summit 2026 (Arlington, USA - April 20-27)

Career Development - Boost Your Income by 5%-10%:

• AI Foundations for Everyone Specialization (IBM)

• Apply Generative Adversarial Networks (GANs)

• AWS Certified AI Practitioner (AIF-C01)

• Data Structures, Algorithms, and Deep Learning Optimization

• Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT

• Deep Learning Specialization

• Deep Learning with TensorFlow & PyTorch

• Deep Learning with Tensorflow, Keras and PyTorch 

• Deep Learning Specialization

• Deep Learning with PyTorch

• Generative AI for Cybersecurity

• Generative Deep Learning with TensorFlow

• Machine Vision, GANs, and Deep Reinforcement Learning

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

• Neural Networks and Deep Learning

• Structuring Deep Learning Projects

• TensorFlow Developer Professional Certificate

Enroll today (teams & execs are welcome).

Much success in your Ethical Hacking career journey, AI Academy (share with colleagues & friends)

“The Interview Prodigy” Audio and eBook series make a wonderful Christmas gift!

Christmas Special - Audible & Kindle Book Series (Amazon)

The Interview Prodigy series (https://tinyurl.com/3ad6vs69)

1 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

2 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

Merry Christmas. Order today, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9

Will Quantum Computing Render AI Mega Data Centers Obsolete?

The Race for Quantum Computing: Who will achieve a strategic competitive advantage … China, Japan or the US? (Amazon audio & ebook)

Colleagues, according to the Future Forward: Exploring Tomorrow’s report entitled “China's Quantum Leap: The Internet Revolution of 2024” the PRC has taken a major step forward in the race for quantum supremacy. If this claim is valid the implications for technological transformation are enormous.

For a deeper dive on this matter read “The Race for Quantum Computing” (Audible) (Kindle) that clearly defines the global race for quantum computing among China, Japan and the United States. Moreover, it will identify the impact and consequences of winning this technological race … along with the strategic advantages that await the nation that wins this competition. These advantages include positive innovations in science, technology and finance. In addition, the outcome of this high stakes contest will have an immeasurable impact on military and intelligence gathering along with cybersecurity and encryption. Quantum computing is the next big technological frontier, and the race to build the first working quantum computer is heating up. A quantum computer is a type of computer that uses quantum bits, or qubits, instead of traditional bits, which allows for faster, more complex computations. This ability has the potential to revolutionize industries from finance to pharmaceuticals, and countries around the world are vying for supremacy in this field. In this article, we will explore the importance of winning the race for quantum computing and the implications for the global technological landscape.

The race for quantum computing is not just limited to the private sector, however. Governments around the world are also investing heavily in quantum research and development. In 2018, the US passed the National Quantum Initiative Act  (Daphne Leprince - February 9, 2019), which provides $1.2 billion over five years to support quantum research and development. China is also investing heavily in quantum technology, with the government aiming to build a $10 billion quantum research facility by 2024.

Access the Transformative Innovation book series on Amazon today:

 

1 - The Race for Quantum Computing (Audible) (Kindle) 

2 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

3 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle)

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9