August 12, 2025
Top of mind his week: 🥳 By popular demand I have decided to open up a new cohort of my course 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗿𝗼𝗺 𝗭𝗲𝗿𝗼-𝘁𝗼-𝗦𝗺𝗮𝗿𝘁 𝗶𝗻 𝟯 𝗛𝗼𝘂𝗿𝘀. If you are looking to kick-start your AI journey this is the course for you! You will be learning directly from me LIVE! I’m opening 30 spots in the first cohort today exclusively for all of you who are my newsletter subscribers before I share it more broadly!
What you’ll learn in the course:
✅ My 4-step framework to build AI Applications
✅ Behind-the-scenes implementation patterns
✅ Cost optimization secrets
✅ My decision framework for investing in AI companies
✅ Exclusive Q&A session with me
Who is it for:
✅ Investors evaluating AI opportunities
✅ Tech leaders crafting AI strategy
✅ Application Developers building AI applications
🎁 Bonus to my you all for being my Newsletter members: 𝟏𝟓% 𝐨𝐟𝐟 with code 𝐋𝐄𝐕𝐄𝐋𝐔𝐏𝟐𝟎𝟐𝟓. Valid until Aug 20th or until spots fill (whichever comes first)
⏳ First cohort: Sept 5-6! Once filled, waitlist moves to Jan. You don’t want to wait that long because AI is moving pretty fast!
If you’re ready to level up your career, I am ready for you! Secure your spot in this cohort
Section 1
AI Weekly Pulse: 3W Breakdown
Welcome to AI Weekly Pulse—the heartbeat of what truly moved AI this week. We skip the hype and get straight to the point with a 3W breakdown for every story: What happened, why it matters, and where it fits in your stack or strategy. Think of it as your mission control: concise, credible, and cloud‑aware—so you know not just the news, but how to use it.
Pulse 1
Pulse 2
Pulse 3
Pulse 4
Pulse 5
Section 2
This week’s Visual Launch Pad
Tue, Aug 12
No Cloud, No AI Agents: How cloud powers AI
As autonomous agents become more powerful, their real potential is unlocked by harnessing the full capabilities of the cloud. Imagine an AI “mission control” at the center, seamlessly tapping into cloud tools, vast data lakes, schedulers, and collaborating with other specialized agents to drive smarter, automated outcomes.
Below is a sketch that visualizes how Agentic AI integrates with cloud-native capabilities—serving as the brain, with everything else as its extended toolkit. Ready for a deeper dive? Read the full post to see how this new architecture is reshaping the future of autonomous applications.
Section 3
Latest Videos
Learn the complete MLOps roadmap for 2025 and discover the best way to transition from developer to AI engineer with this comprehensive guide to machine learning operations. This video covers essential MLOps skills including CI/CD pipelines for machine learning, model versioning and deployment, containerization with Docker and Kubernetes, monitoring and observability, data pipeline management, and MLOps tools like MLflow, Kubeflow, and Apache Airflow. Whether you’re a software developer, data scientist, or DevOps engineer looking to break into AI engineering, this step-by-step MLOps learning path will help you master production machine learning workflows, automated model training, model serving at scale, and best practices for managing ML infrastructure in cloud environments like AWS, Azure, and Google Cloud Platform. Follow this proven MLOps career roadmap to land your first AI engineer role in 2025 and advance your tech career in the rapidly growing field of artificial intelligence and machine learning operations.
TheCloudGirl, California, United States
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