THE_LOG_FILES#SHOW LOG

IN TODAYS EMAIL:

• Vibe Coding is changing how software gets built — fast.

• Artificial Intelligence isn’t a “future skill” anymore — it’s a career multiplier right now.

• The 5 Most Common CCNA Questions

INDUSTRY TRENDS & NEWS:

Vibe Coding is changing how software gets built — fast.

Vibe Coding is changing how apps get built.

Instead of writing every line yourself, you tell the AI what you want — and it generates, fixes, and improves the code for you. It’s faster, easier, and perfect for beginners and pros.

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The Log

🔥 What Is Vibe Coding?

Vibe Coding = building software through natural language.

You describe the goal → AI creates the code → you refine it.

Coined by Andrej Karpathy, it comes in two forms:

• Pure Vibe Coding — fast prototypes, weekend projects

• AI-Assisted Development — professional workflow: guide + review + refine

👉 Full breakdown: https://cloud.google.com/discover/what-is-vibe-coding

🧠 How It Works

1) Code Loop

1. Describe the goal

2. AI generates code

3. Test

4. Refine

5. Repeat

2) Full App Build

• Describe full app

• AI generates front-end + backend

• Test and adjust

• Deploy to Cloud Run

🛠️ Tools You Can Use

Google AI Studio

Build simple apps fast — no code needed.

Firebase Studio

Full-stack apps with auth + database.

Gemini Code Assist

AI pair programmer inside your code editor.

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Key Takeaway

Vibe Coding doesn’t replace coders —

it supercharges them.

Faster builds. Lower learning curve. More time for creative problem-solving.

ADVICE AND TIPS:

Artificial Intelligence isn’t a “future skill” anymore — it’s a career multiplier right now.

⚙️ 

Ping

This week, we’re looking at 5 AI certifications you should know about — from CompTIA, Cisco, Microsoft, and AWS — and how each one can help you stay employable, competitive, and ahead of the curve as AI reshapes IT.

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The Log

CompTIA SecAI+ (Launching Feb 2026)

A brand-new certification built for the intersection of cybersecurity + AI.

What it teaches you:

• How AI systems work

• How to secure AI models and pipelines

• How to use AI for threat detection

• How to govern AI responsibly

Career paths this supports:

SOC Analyst • Cyber Technician • AI Governance Support • Threat Detection Analyst

Perfect for beginners working toward cyber.

Cisco AI Technical Practitioner (AITECH)

Cisco’s first official AI certification — hands-on, job-ready, lab-focused.

You’ll learn:

• Generative AI models

• Prompt engineering

• AI ethics & security

• AI for automation

• Agentic AI (the future of AI workflows)

Launch: Feb 17, 2026

Great for helpdesk, networking, cybersecurity, and cloud pros.

Microsoft Azure AI Fundamentals (AI-900)

The most accessible entry-level AI cert on the market. No coding. No math. No data science required.

Covers:

• AI workloads

• ML basics

• Computer vision

• NLP

• Generative AI use cases

Cost: $99

A strong confidence builder for beginners, career changers, and IT pros adding AI skills.

Azure AI Engineer Associate

A step up from AI-900 — focused on building, deploying, and managing AI solutions in Azure.

You’ll learn:

• Deploying full AI solutions

• Integrating Azure AI services

• Working with Azure OpenAI

• Real-world AI implementation skills

Perfect for anyone moving toward AI engineering, cloud roles, or automation-heavy jobs.

AWS Certified AI Practitioner

AWS’s foundational AI cert — great for beginners or non-technical users who want to understand AI inside AWS.

Covers:

• Core AI & ML concepts

• AWS AI/ML services

• Generative AI basics

• How to use AI tools without building models

Cost: $100

Fits roles like support, business analyst, project manager, and cloud beginners.

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Key Takeaway

You don’t need to be a data scientist to win in AI.

Start with the fundamentals, build practical skills, and focus on certifications that move your career forward — not just your résumé.

RESOURCE OF THE WEEK:

🛒 My Amazon Store:

Books + gear to level up in tech →

👉 https://www.amazon.com/shop/debtfreeinitwmike

RECENT EPISODE:

The 5 Most Common CCNA Questions

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Ping

If you’re trying to break into networking, the CCNA conversation can get confusing fast — CCNA vs Network+, CCST vs Net+, college vs self-study… everyone has an opinion.

This week, I’m breaking down the top 5 CCNA questions I get asked the most so you can choose the path that fits your goals, not someone else’s.

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The Log

Net+ vs CCNA — Which Should You Start With?

Network+ is vendor-neutral, theory-heavy, and beginner-friendly.

CCNA is hands-on, more technical, and the cert that gets the most people hired for networking roles.

If you had to pick just one: CCNA carries more weight.

Which Cert Has More Respect?

CCNA is known for its difficulty, labs, and real-world relevance.

Even companies that aren’t Cisco shops still value it.

Network+ is solid — but it’s seen more like A+ for networking theory.

College Course vs Self-Study for CCNA

It depends on your learning style:

• If you need structure → community college is a great option.

• If you’re self-motivated → self-study can save time and money, but you must invest in the right labs and material.

What to Do After the A+ if You Want Networking

Use A+ to land your first role, build confidence, and learn the basics.

Then choose a path based on your end goal:

Networking → CCNA

Cybersecurity → Sec+

Cloud → AWS/Azure + Linux

The A+ is the door — CCNA points you toward the hallway you want.

CCST vs Network+ If You’re Planning to Take the CCNA

CCST Networking is the better warm-up for CCNA:

• Cisco terminology

• Basic labs

• Smoother transition to CCNA

  Just don’t stop at CCST — it’s the starting line, not the finish.

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Key Takeaway

The CCNA is still the strongest entry point into networking.

Pick the cert that aligns with your goal — not the one everyone else is chasing.