Author: day2 n8n

On its “Learn AI” page, the Oklahoma Office of Management and Enterprise Services is highlighting practical AI learning opportunities for the public and state employees. The page centers on Google’s AI Essentials program and features real learner experiences — a snapshot dated Dec. 10, 2025 calls out a Google AI Essentials graduate who said, “I came into this course knowing very little about AI technology and …,” signaling the program’s role as an entry point for beginners.

The presentation is visual and approachable: image captions on the page point to things people care about when evaluating a course — Skill Level, an AI Hierarchy graphic, a Clock (time commitment), and a Price tag. Visitors are also invited to “Watch a course preview,” and the page highlights benefits such as a Google Credit Certificate and Hands-on Experience, underlining that this offering is meant to be both credentialed and practical.

The Learn AI content amplifies learner stories as proof points. The page features three graduates by name — Candace P., David M., and Cris M. — alongside the testimonial excerpt, suggesting the program has helped people from different backgrounds gain foundational AI literacy.

Taken together, Oklahoma’s Learn AI page frames Google AI Essentials as an accessible, certificate-backed way to build AI skills, with visual cues and graduate examples aimed at reducing the uncertainty many newcomers feel about the technology. For anyone curious about getting started with AI, the page appears to offer a quick preview, clear signals about effort and outcomes, and real learner perspectives.

Johns Hopkins University’s new Certificate Program in Agentic AI is a compact, practical pathway for professionals who want to design and deploy autonomous AI systems. Delivered fully online over 16 weeks, the program blends instructor‑led material, industry mentorship, and hands‑on projects so learners graduate with usable skills rather than just theory.

What the program teaches
The curriculum focuses on building agentic systems—AI agents that perceive, reason, plan and act autonomously. You’ll learn how agentic approaches differ from traditional AI and how to integrate Large Language Models into multi‑step, decision‑making workflows. The program emphasizes practical techniques and toolchains used in industry.

Hands‑on, project‑driven learning
Students complete multiple hands‑on projects (examples include a Smart Data Processing Agent that automates expense processing) that require Python and real engineering workflows. Course work uses familiar development environments such as Google Colab and VS Code, and covers vector databases (Chroma, Pinecone), retrieval‑augmented generation (RAG), LangChain and LangGraph, DSPy, OpenAI Autogen, and other libraries and patterns for building agents.

Who it’s for and prerequisites
The program is aimed at people who want to develop AI systems that autonomously make decisions and adapt to changing environments. While prior experience is beneficial, the certificate includes a Python prework module so beginners can build foundational skills before the core 16‑week curriculum.

Faculty, mentors and industry connections
Course content is designed and taught by Johns Hopkins faculty and industry practitioners. Industry mentors come from notable companies such as Apple, BlackRock, Workday, Newmark and Capital One—bringing real‑world perspectives on building and deploying agentic solutions.

Credentials, cost and logistics
On successful completion, learners receive a Johns Hopkins University Certificate of Completion and 11 Continuing Education Units. The published program fee is $3,000; information about payment plans and financial assistance is available through the program advisor. Admissions follow a rolling process and will close when enrollment targets are met.

Why this matters
Agentic AI represents a shift toward systems that can plan and act across multiple steps rather than merely replying to single prompts. For practitioners and teams aiming to adopt these capabilities, Johns Hopkins’ program promises a direct route: structured learning, industry feedback, and concrete projects that mirror real business use cases.

A familiar pattern returned to global markets this week: when geopolitics heats up, energy prices and safe havens move fast.

According to a CNN Business report, oil prices jumped Thursday to their highest level in nearly seven months as tensions between the United States and Iran continued to flare. At the same time, investors poured into traditional “safety” assets, pushing gold to $5,000.

The article points to diplomatic activity running in parallel with the market volatility. US and Iranian envoys met in Geneva in recent days for negotiations on Iran’s nuclear program. Even with talks taking place, the market response shows how quickly traders reprice risk when uncertainty rises—especially when it involves a major oil-producing region.

Gold’s move underscored that caution. CNN notes that gold prices wavered but still rose 0.2% Thursday, with the metal touching the psychologically significant $5,000 level as investors sought shelter.

Put together, the day’s price action tells a clear story: as US–Iran tensions ramp up, markets are balancing hope for diplomacy against fear of escalation—and for now, that balance is showing up in higher oil and a renewed rush into gold.

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The phrase “open micromanager” sounds almost like a contradiction—until you’ve lived it.

In a recent post on Reddit’s r/askmanagers, one worker lays out a familiar, grinding reality: a boss who micromanages openly, and a day-to-day work life that has become less about doing the job and more about enduring the constant pressure that comes with being managed minute-by-minute. The poster isn’t asking for a career makeover or a grand strategy to “win” workplace politics. They’re job hunting. What they need right now is simpler—and harder: mental strategies to survive in the meantime.

What makes the discussion striking is how quickly it moves past platitudes. The replies focus on concrete ways to reduce the emotional damage while the clock runs out on a bad situation.

One theme is direct communication—naming what’s happening and making it specific. A commenter suggests telling the boss about the stress the behavior causes, then agreeing on ways of working going forward. It’s not framed as a dramatic confrontation; it’s framed as setting workable terms.

But the advice doesn’t stop at “have a conversation.” It adds two practical reinforcements: document what you agree on, and treat the documentation as part of protecting your sanity. When micromanagement is constant and public, memory gets blurry and the goalposts can move. Writing down expectations and decisions becomes a way to anchor reality.

Another reply goes further, pointing to stress leave as an option—paired with a blunt note: “make sure everyone knows.” Whether or not someone chooses that path, the suggestion reveals the level of strain being discussed. This isn’t mild annoyance; it’s stress significant enough to consider stepping away.

Taken together, the thread reads like a survival playbook for a specific season of work life: the in-between time when you know you’re leaving, but you still have to show up.

And that may be the most honest takeaway. When you’re actively job hunting, you’re often trying to conserve energy for applications, interviews, and the emotional steadiness it takes to keep believing you’ll land somewhere better. The Reddit conversation doesn’t pretend you can transform a micromanager overnight. Instead, it offers ways to create structure—through agreements, documentation, and, if needed, time away—so you can make it to your next chapter with your health intact.

The article “The Soul of Snowboarding,” published by Bomb Snow, doesn’t try to define the sport by medals, tricks, or gear. Instead, it starts in a far more familiar place for many riders: a few days of winter camping in “the lot” at Mt. Bachelor over New Year’s Eve—already their second lot-camping trip of the season.

That detail matters, because it frames snowboarding as something that happens before first chair and after last run. The story is rooted in a particular kind of winter rhythm: packing up for a cold weekend, committing to the shared chaos and comfort of a parking-lot community, and letting the trip itself become the point—not just the turns.

Written by Annie Fast, a former editor-in-chief at TransWorld SNOWboarding Magazine who now continues to snowboard and write from Bend, the piece carries the perspective of someone who has seen snowboarding from the inside: as culture, as story, and as lived experience. And what comes through is the idea that snowboarding’s “soul” isn’t confined to the mountain’s boundaries. It’s also in the gatherings, the traditions, and the way a simple trip—camping out at Mt. Bachelor to ring in the new year—can still feel like the heart of why people ride in the first place.

In a world where it’s easy to measure a season by how many days you logged or how perfect the conditions were, the article reminds us of another metric entirely: the moments that linger. The kind you can’t download, and don’t need to prove. Just a winter lot, a new year, and a sport that keeps finding its meaning in the places riders choose to show up together.