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Emilio Castillejos
@ecascell
Mi pasión: Tecnología, música y mi familia
Joined September 2015
112 Following
15 Followers
1.3K Posts
Si quieres aprender Desarrollo web, con contenido actualizado y moderno y 100% GRATIS, puedes empezar cuando quieras con los videos en Youtube:
✅ Partimos desde cero, aprendiendo a usar terminal
✅ Aprendemos sobre IA, agentes e IA generativa
✅ El código no es lo importante: es ENTENDER
✅ Temas avanzados como Rendimiento o Módulos
Si aún no te has puesto al día, ¡empieza ya!
https://t.co/wUdlM9Azlo
https://t.co/1CmV9QXXHy
La próxima semana continuamos con la Fase 5: NodeJS/Express, Astro y Servidores VPS.
👇 ¡Si ya lo has empezado, cuéntanos en los comentarios que te está pareciendo!
Stop wasting hours trying to learn AI.
I have already done it for you.
With one list. Zero confusion. And no fluff.
📹 Videos:
1. LLM Introduction: https://t.co/UDWvyUAsaI
2. LLMs from Scratch: https://t.co/Rx44povIEH
3. Agentic AI Overview (Stanford): https://t.co/qIHKeosBqr
4. Building and Evaluating Agents: https://t.co/FzZBPIPunu
5. Building Effective Agents: https://t.co/kPXMgZQvbY
6. Building Agents with MCP: https://t.co/0BxDRXV78n
7. Building an Agent from Scratch: https://t.co/NHS3yX6EbF
8. Philo Agents: https://t.co/nSX3794UmR
🗂️ Repos
1. GenAI Agents: https://t.co/Wugc4ElApm
2. Microsoft's AI Agents for Beginners: https://t.co/9BZ8lAFjaJ
3. Prompt Engineering Guide: https://t.co/WXnr2eddh3
4. Hands-On Large Language Models: https://t.co/im1bkmpBv7
5. AI Agents for Beginners: https://t.co/9BZ8lAFjaJ
6. GenAI Agents: https://t.co/CTvcbtC6HS
7. Made with ML: https://t.co/pp4GS6PVES
8. Hands-On AI Engineering: https://t.co/NHu3VRGYPg
9. Awesome Generative AI Guide: https://t.co/rjwe2x5SW5
10. Designing Machine Learning Systems: https://t.co/C1A2CSj1z9
11. Machine Learning for Beginners from Microsoft: https://t.co/cwLWVqn5lj
12. LLM Course: https://t.co/QotR4zTDO2
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/pad0Wdut3W
2. Google's Agent Companion: https://t.co/aWXjJXK07J
3. Building Effective Agents by Anthropic: https://t.co/WzvxSqGpGx
4. Claude Code Best Agentic Coding practices: https://t.co/otpqJ6Valm
5. OpenAI's Practical Guide to Building Agents: https://t.co/AcRfUkiMlM
📚 Books:
1. Understanding Deep Learning: https://t.co/J0chaQgMgu
2. Building an LLM from Scratch: https://t.co/W1rbKOCQNr
3. The LLM Engineering Handbook: https://t.co/HxpnM8h3S0
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/DlGOZX1PEQ
5. Building Applications with AI Agents - Michael Albada: https://t.co/AR0SLvw8zq
6. AI Agents with MCP - Kyle Stratis: https://t.co/ZnTI4pWTVK
7. AI Engineering: https://t.co/tU4XSxA0wf
📜 Papers
1. ReAct: https://t.co/91BGsT8L29
2. Generative Agents: https://t.co/PDzzN0DMZH
3. Toolformer: https://t.co/FMLE0ASIdg
4. Chain-of-Thought Prompting: https://t.co/dyRM63ELuB
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/FwEkr2lBxd
2. MCP with Anthropic: https://t.co/9A60YMQNsN
3. Building Vector Databases with Pinecone: https://t.co/pbo7DvoFcV
4. Vector Databases from Embeddings to Apps: https://t.co/4bk4AZvRDt
5. Agent Memory: https://t.co/5CheOeSvnx
👇 Comment “A” for more resources
Repost for your network ♻️
Bookmark for future.
Certifications increase your chances of getting a job in cybersecurity. Here are 10 FREE ones actually worth your time in 2026.
1.ISC2 Certified in Cybersecurity (CC): backed by the organisation behind CISSP, recognised globally, free including the exam. https://t.co/pc6gcRE190
https://t.co/HATVwJDPfO Cybersecurity Certificate: covers threat detection, SIEM, Linux, and Python. 85% of completers find employment within six months. https://t.co/tFPl31g6QG
3.Fortinet NSE 1, 2 and 3: free courses from one of the world’s leading security vendors. Recognised by employers. https://t.co/vZJUCEBFPi
https://t.co/x7tqNLyAxu Intro to Cybersecurity: free foundational course covering how networks are attacked and defended, with a certificate on completion. https://t.co/UW0j4bPgsv
5.Securiti AI Governance Certification: two hours, completely free, covers AI laws, compliance, and governance frameworks. https://t.co/Tl7mK3sUoC
https://t.co/KHPOTLngsp AI Professional Certificate: AI fundamentals, prompt engineering, and practical AI tools. Free to audit. https://t.co/hM817PV9jq
7.TryHackMe SOC Level 1 Path: the most practical credential for any aspiring SOC analyst. Complete it, earn the badge, attach it to every application. https://t.co/jqYUL166VU
8.CISA Cybersecurity Awareness Training: free training from the US government’s cybersecurity agency with certificates on completion. https://t.co/aqkkDlYvym
9.Alison AI Governance and Ethics: covers AI bias, data protection, and responsible AI deployment. Free with a certificate. https://t.co/CPkCgpWlue
https://t.co/Mff0MvjnFv Cybersecurity Analyst Certificate (free audit): covers endpoint security, incident response, and QRadar SIEM. https://t.co/TsztGSJyX7
The barrier to entry is not money. It never was.
Save this and share it with someone who thinks they cannot afford to learn cybersecurity.
Repost for others to see.
A system can appear healthy even when something is going wrong behind the scenes.
In this handbook, @irvingpictures shows you how to use Bash and Python for real-world DevOps automation.
You'll detect AWS cost spikes, trace service logs, find infrastructure drift, validate secret rotation, and automate canary rollbacks.
https://t.co/NFVhlxBs5z
🚀 Complete AI Engineering Roadmap 🤖⚡
🧠 STEP 1: Learn Programming Fundamentals*
✔ Start with Python
✔ Data Structures & Algorithms
✔ APIs & JSON
✔ OOP Concepts
🛠 Tools to Learn:*
✔ Visual Studio Code
✔ Git
✔ GitHub
📊 STEP 2: Learn Data Handling & Analytics
✔ Data Cleaning
✔ Data Visualization
✔ Feature Engineering
✔ SQL Basics
🛠 Libraries to Learn:
✔ Pandas
✔ NumPy
✔ Matplotlib
🤖 STEP 3: Learn Machine Learning
✔ Supervised Learning
✔ Unsupervised Learning
✔ Model Training
✔ Model Evaluation
🛠 Frameworks to Learn:
✔ Scikit-learn
✔ XGBoost
🧠 STEP 4: Learn Deep Learning
✔ Neural Networks
✔ CNN & RNN
✔ Transformers
✔ Fine-Tuning Models
🛠 Frameworks to Learn:
✔ TensorFlow
✔ PyTorch
✔ Keras
💬 STEP 5: Learn Generative AI & LLMs
✔ Prompt Engineering
✔ AI Chatbots
✔ RAG Applications
✔ AI Agents
M🛠 Tools to Learn:
✔ ChatGPT
✔ LangChain
✔ LlamaIndex
✔ Hugging Face Transformers
⚡ STEP 6: Learn AI Automation & Agents
✔ Workflow Automation
✔ Autonomous AI Systems
✔ Tool Calling
✔ Multi-Agent Systems
🛠 Platforms to Learn:
✔ n8n
✔ CrewAI
✔ AutoGen
☁️ STEP 7: Learn Deployment & MLOps
✔ API Development
✔ Docker & Kubernetes
✔ CI/CD Basics
✔ Cloud Deployment
🛠 Platforms to Learn:
✔ FastAPI
✔ Docker
✔ Kubernetes
✔ AWS
🔥 STEP 8: Build Real AI Engineering Projects
✔ AI Resume Analyzer
✔ AI Customer Support Bot
✔ AI SaaS Product
✔ AI Voice Assistant
✔ AI Workflow Automation System
💡 AI Resources: https://t.co/QPE4bgEXVE
BOOKMARK THIS
The best AI courses in 2026 are free.
Your team has no excuse. Neither do you.
Google, Anthropic, Microsoft, OpenAI, NVIDIA, IBM, AWS.
They’re giving away what used to cost thousands.
Here are 12 free AI courses for leaders, teams, and builders:
FOR LEADERS
1. Google AI Essentials
Gemini, prompting, responsible AI. Beginner-friendly.
→ https://t.co/sCFwUVU6aN
2. Anthropic Academy
15+ AI courses with certificates included.
→ https://t.co/yF4LGirRad
3. IBM SkillsBuild
AI fundamentals, ethics, governance, strategy.
→ https://t.co/bD0l1sTrii
4. Microsoft Power Up
Copilot for business from beginner to advanced.
→ https://t.co/D3MmOED6RZ
FOR TEAMS
5. OpenAI Introduction
APIs, prompts, fine-tuning, function calling.
→ https://t.co/jaCxzSRgqM
6. https://t.co/JusdByoV7g — Agent Skills
Build AI agents that actually work. Hands-on.
→ https://t.co/inS7mgeWHL
7. AWS Skill Builder
600+ free AI/ML courses and Bedrock labs.
→ https://t.co/mQPonSHGPE
8. Building with the Claude API
Production-ready Claude workflows and integrations.
→ https://t.co/NhgPvWRnmN
FOR BUILDERS
9. GitHub Copilot CLI
Terminal workflows, code reviews, testing.
→ https://t.co/RRajbqtiR5
10. LangChain.js for Beginners
Build AI agents with TypeScript. 70+ examples.
→ https://t.co/yR6MMmpNOx
11. NVIDIA Fundamentals of Deep Learning
PyTorch, TensorFlow, neural networks.
→ https://t.co/8iwyXUymzO
12. Stanford LLM Course
Transformers to agentic LLMs. Free lectures online.
→ https://t.co/eYrVBIY4zN
The gap between AI-fluent and AI-illiterate developers is widening.
The people moving ahead are not always smarter.
They are just learning faster.
Save this.
And send it to someone who wants to get into AI in 2026. 🚀
Linux resources for Beginners
1. Linux Foundation Training
https://t.co/txIZw2ptea…
2. Linux Journey
https://t.co/KRg31mQu1c
3. Ubuntu Tutorials
https://t.co/Q2dRORmmTj
4. Red Hat Training Resources
https://t.co/bcv7fhj9eM
5. GNU Documentation
https://t.co/Gt4OKHOHS1
6. OverTheWire Bandit (Linux Wargames)
https://t.co/XtZRQnCZCs
7. The Linux Command Line Book
https://t.co/xyAetAYnqm
8. MIT Missing Semester (Linux & CLI)
https://t.co/1wKBlkhxCp
9. DigitalOcean Linux Tutorials
https://t.co/iqsbAhNa26…
10. Linux From Scratch
https://t.co/lxg4xqZzyb
11. Arch Linux Wiki
https://t.co/0Q49UVnuUh
12. freeCodeCamp Linux Course
https://t.co/3szrgw6xdg
13. Linux Survival
https://t.co/Lg789dzlZw
Este repositorio te enseña Ingeniería de IA desde cero.
✓ 435 lecciones
✓ 320 horas de contenido
✓ Python, TypeScript, Rust...
✓ Prompts, skills, agentes y servidores MCP
Ejercicios prácticos en cada lección y de código abierto:
https://t.co/Jz6Aac5ZJP
AI is not the future anymore. It’s the skill gap of today. 🤖
The problem?
Most people want to learn AI… but don’t know where to start.
Good news:
Some of the world’s top universities and companies are offering free AI courses.
No expensive degree.
No complicated setup.
Just curiosity and internet.
Here are 10 Free AI Courses you can start today:
1️⃣ Harvard – Introduction to AI with Python
https://t.co/4OjvEyjUad
2️⃣ Microsoft – AI for Beginners
https://t.co/Iej7bWhLuZ
3️⃣ Google – Introduction to Generative AI
https://t.co/WiTAKsn6I4
4️⃣ https://t.co/G9hD795fvr – Generative AI for Everyone
https://t.co/ojf99oshlh
5️⃣ LinkedIn – Generative AI Courses
https://t.co/DW60knA15t
6️⃣ Vanderbilt – Prompt Engineering for ChatGPT
https://t.co/k8kyXmkJlt
7️⃣ OpenAI – ChatGPT Prompt Engineering for Developers
https://t.co/UvtHTQ4XTf
8️⃣ edX – AI Applications and Prompt Engineering
https://t.co/6yILcMT6Cf
9️⃣ AWS – Foundations of Prompt Engineering
https://t.co/HhGVEMOnLG
🔟 UC Davis – Big Data, AI, and Ethics
https://t.co/fZNDnwX17r
Whether you're a student, founder, HR professional, or working professional, understanding AI is becoming a career superpower.
Save this post. Start one course this week. Your future self will thank you.
❤️ Like
🔁 Retweet
🔖 Bookmark
Follow @MeenakshiYACS for more such posts
Which one will you start first? 👇
#AI #ArtificialIntelligence #GenerativeAI #CareerGrowth #Upskilling
DEVOPS MASTERY CHECKLIST FOR 2026
1 → Understand what DevOps is and why it matters
2 → Learn the DevOps lifecycle and culture
3 → Understand Agile and DevOps collaboration
4 → Learn Linux fundamentals deeply
5 → Master Linux command-line operations
6 → Understand networking basics (TCP/IP, DNS, HTTP, HTTPS)
7 → Learn shell scripting fundamentals
8 → Automate repetitive tasks with Bash scripts
9 → Understand software development workflows
10 → Master Git and version control
11 → Learn Git branching strategies
12 → Understand GitHub, GitLab, and Bitbucket workflows
13 → Master CI/CD fundamentals
14 → Create your first CI pipeline
15 → Create your first CD pipeline
16 → Automate testing in CI/CD workflows
17 → Learn Jenkins fundamentals
18 → Understand GitHub Actions workflows
19 → Build automated deployment pipelines
20 → Implement Infrastructure as Code principles
21 → Learn Docker fundamentals
22 → Build and manage Docker images
23 → Understand Docker networking
24 → Use Docker volumes and persistence
25 → Create multi-container applications with Docker Compose
26 → Learn Kubernetes fundamentals
27 → Understand Pods, Deployments, and Services
28 → Learn Kubernetes networking concepts
29 → Scale applications using Kubernetes
30 → Deploy production workloads on Kubernetes
31 → Learn cloud fundamentals (AWS, Azure, GCP)
32 → Understand cloud architecture basics
33 → Learn virtual machines and cloud networking
34 → Manage cloud storage services
35 → Understand load balancing concepts
36 → Learn auto-scaling strategies
37 → Deploy applications to cloud environments
38 → Understand high availability and disaster recovery
39 → Optimize cloud costs and resources
40 → Build secure cloud infrastructures
41 → Learn Terraform fundamentals
42 → Automate infrastructure provisioning
43 → Understand monitoring and observability
44 → Use Prometheus for metrics collection
45 → Use Grafana for visualization and dashboards
46 → Implement centralized logging systems
47 → Learn security best practices in DevOps
48 → Implement secrets management solutions
49 → Build real-world DevOps projects end-to-end
50 → Think in automation, scalability, reliability, and continuous improvement
Grab the DevOps Ebook:
https://t.co/sFVvruk8FW
Free Certification Courses to Learn Data Science in 2026:
1. Python
🔗 https://t.co/dIF8TuaOLu
2. SQL
🔗 https://t.co/Ge4bFjars9
3. Statistics and R
🔗 https://t.co/41ya4HlxPS
4. Data Science: R Basics
🔗https://t.co/56xixoYoMg
5. Excel and PowerBI
🔗 https://t.co/oWULVWbQPg
6. Data Science: Visualization
🔗https://t.co/eQ7buwP4QU
7. Data Science: Machine Learning
🔗https://t.co/RYTIF3cocp
8. R
🔗https://t.co/aPvThGhFHw
9. Tableau
🔗https://t.co/94KUoem3Bf
10. PowerBI
🔗 https://t.co/gOV6kIG2kQ
11. Data Science: Productivity Tools
🔗 https://t.co/0fvxcgIQ4W
12. Data Science: Probability
🔗https://t.co/J0eC5jlOGX
13. Mathematics
🔗https://t.co/b62getHyo7
14. Statistics
🔗 https://t.co/Y82ToFqsFs
15. Data Visualization
🔗https://t.co/Yz8e2T6mdn
16. Machine Learning
🔗 https://t.co/VoHcNGJvfC
17. Deep Learning
🔗 https://t.co/TY3cjGHXdK
18. Data Science: Linear Regression
🔗https://t.co/5N2UOWUgxw
19. Data Science: Wrangling
🔗https://t.co/zTsUAAn1hE
20. Linear Algebra
🔗 https://t.co/UPNbNapSf0
21. Probability
🔗 https://t.co/UdOPPPyYJ8
22. Introduction to Linear Models and Matrix Algebra
🔗https://t.co/3hOAvinvhe
23. Data Science: Capstone
🔗 https://t.co/ac8w6CLS9T
24. Data Analysis
🔗 https://t.co/tKh5FYjMRM
25. IBM Data Science Professional Certificate
https://t.co/gFsFS3B6zu
26. Neural Networks and Deep Learning
https://t.co/SPyU710NvG
27. Supervised Machine Learning: Regression and Classification
https://t.co/ATOsYimRAJ
🚀 Pro TecMint now has 16 Linux courses live!
🟢 Beginner:
Learn Linux in 7 Days → https://t.co/deTl6ZidAB
100+ Essential Linux Commands → https://t.co/A2ILSmh5Ko
11 Best Linux Distributions → https://t.co/dAMZrpv7zZ
Linux Interview Handbook → https://t.co/lxVR6UvGNp
SSH Complete Course → https://t.co/M6zgrQxQqN
🔵 Advanced:
AI for Linux → https://t.co/sfpxrrY3nx
Bash Scripting → https://t.co/jA18Cs0cAY
Ubuntu Handbook → https://t.co/Edtkv2l06c
Linux Performance Monitoring → https://t.co/ZyZx8yHZke
Golang for DevOps → https://t.co/ncUWjJjjZe
Claude for Linux → https://t.co/U3vHa3qzcB
🏆 Certifications:
RHCSA → https://t.co/OO5hFroNAn
RHCE → https://t.co/IxFnlDdJ20
LFCS → https://t.co/C0yuQjD6vM
LFCA → https://t.co/zRblgdSwDY
All courses included in the Root plan at $8/month or $59/year. Lifetime access at $199 one-time.
👉 https://t.co/uCl3wUIdop
#Linux #SysAdmin #DevOps
CYBER SECURITY — MASTER TREE 🌲
Cyber Security
│
├── 01. Networking Basics
│ ├── TCP/IP
│ ├── DNS
│ ├── HTTP / HTTPS
│ ├── Firewalls
│ ├── VPNs
│ └── Proxies
│
├── 02. Linux & Systems
│ ├── Linux Commands
│ ├── File Permissions
│ ├── Processes
│ ├── SSH
│ ├── System Logs
│ └── User Management
│
├── 03. Web Security
│ ├── SQL Injection
│ ├── XSS
│ ├── CSRF
│ ├── SSRF
│ ├── Authentication
│ └── Session Security
│
├── 04. Ethical Hacking
│ ├── Reconnaissance
│ ├── Scanning
│ ├── Enumeration
│ ├── Exploitation
│ ├── Privilege Escalation
│ └── Post Exploitation
│
├── 05. Security Tools
│ ├── Nmap
│ ├── Wireshark
│ ├── Burp Suite
│ ├── Metasploit
│ ├── Nessus
│ └── Kali Linux
│
├── 06. Cloud Security
│ ├── AWS Security
│ ├── IAM
│ ├── Secrets Management
│ ├── Cloud Monitoring
│ ├── Zero Trust
│ └── Kubernetes Security
│
├── 07. Detection & Monitoring
│ ├── SIEM
│ ├── SOC
│ ├── Threat Intelligence
│ ├── Log Analysis
│ ├── Incident Detection
│ └── Malware Analysis
│
├── 08. Cryptography
│ ├── Encryption
│ ├── Hashing
│ ├── SSL/TLS
│ ├── Public Key Infrastructure
│ ├── Digital Signatures
│ └── Certificates
│
├── 09. Security Operations
│ ├── Incident Response
│ ├── Disaster Recovery
│ ├── Risk Assessment
│ ├── Compliance
│ ├── Vulnerability Management
│ └── Security Audits
│
└── 10. Future of Security
├── AI Security
├── Quantum Cryptography
├── Autonomous Defense
├── AI-powered Threat Hunting
└── Self-Healing Infrastructure
Most people use security after something breaks.
The best engineers build systems that are secure by default.
The 30 Most-Googled Data Stack Tools for 2026 (From Ingestion to Viz)
Here’s something I’ve noticed: Every single tech role in 2026 - whether you’re in Cloud, DevOps, AI, or backend engineering - touches data somehow.
Maybe you’re spinning up infrastructure that needs to stream logs. Maybe you’re training an ML model that needs fresh data every hour. Or maybe you’re just trying to build a dashboard for your startup’s metrics, and suddenly you’re drowning in tool options.
The data stack isn’t just for “data engineers” anymore. It’s the backbone of modern tech infrastructure. And if you want to stay relevant (or land that next role), you need to understand how data moves through systems - from raw sources to beautiful visualizations.
But here’s the problem: There are literally hundreds of data tools out there.
So I did the research. I looked at job postings, Google Trends, Reddit discussions, and what hiring managers are actually asking for in 2026.
This is your roadmap - the 30 most-Googled, most-in-demand data stack tools that actually matter.
https://t.co/7tz19mMouH
DevOps Roadmap + Free Learning Resources 🔥
https://t.co/5QDLmaSi9j
Free Certification Courses to Learn Data Science in 2025:
1. Python
🔗 https://t.co/dIF8TuaOLu
2. SQL
🔗 https://t.co/Ge4bFjars9
3. Statistics and R
🔗 https://t.co/41ya4HlxPS
4. Data Science: R Basics
🔗https://t.co/56xixoYoMg
5. Excel and PowerBI
🔗 https://t.co/oWULVWbQPg
6. Data Science: Visualization
🔗https://t.co/eQ7buwP4QU
7. Data Science: Machine Learning
🔗https://t.co/RYTIF3cocp
8. R
🔗https://t.co/aPvThGhFHw
9. Tableau
🔗https://t.co/94KUoem3Bf
10. PowerBI
🔗 https://t.co/gOV6kIG2kQ
11. Data Science: Productivity Tools
🔗 https://t.co/0fvxcgIQ4W
12. Data Science: Probability
🔗https://t.co/J0eC5jlOGX
13. Mathematics
🔗https://t.co/b62getHyo7
14. Statistics
🔗 https://t.co/Y82ToFqsFs
15. Data Visualization
🔗https://t.co/Yz8e2T6mdn
16. Machine Learning
🔗 https://t.co/VoHcNGJvfC
17. Deep Learning
🔗 https://t.co/TY3cjGHXdK
18. Data Science: Linear Regression
🔗https://t.co/5N2UOWUgxw
19. Data Science: Wrangling
🔗https://t.co/zTsUAAn1hE
20. Linear Algebra
🔗 https://t.co/UPNbNapSf0
21. Probability
🔗 https://t.co/UdOPPPyYJ8
22. Introduction to Linear Models and Matrix Algebra
🔗https://t.co/3hOAvinvhe
23. Data Science: Capstone
🔗 https://t.co/ac8w6CLS9T
24. Data Analysis
🔗 https://t.co/tKh5FYjMRM
25. IBM Data Science Professional Certificate
https://t.co/gFsFS3B6zu
26. Neural Networks and Deep Learning
https://t.co/SPyU710NvG
27. Supervised Machine Learning: Regression and Classification
https://t.co/ATOsYimRAJ
Free Computer Science Certifications to try in 2025:
🔸GIT
https://t.co/H5chWHunbB
🔸Python
https://t.co/RY3zrvA81O
🔸SQL
https://t.co/zoVT1cqo7R
🔸DSA
https://t.co/F87Cc4IyBe
🔸Java
https://t.co/en2OUCwDSi
🔸JavaScript
https://t.co/S5k0INPFdn
🔸C
https://t.co/LFqyNLpGZc
🔸C++
https://t.co/AycExxxzks
🔸Data Science
https://t.co/6BshafwIGg
🔸Machine Learning
https://t.co/Nrz1boiOri
🔸Google Data Analytics Certificate
https://t.co/ygnQezioJr
🔸Deep Learning
https://t.co/9Fzh5TRX95
🔸Linux
https://t.co/uzEwESHs6S
🔸DevOps
https://t.co/MF4EMhB1Sy
🔸SQL
https://t.co/l7sz1rgfoU
🔸SQL for Data Science
https://t.co/BxGEiQMd1X
🔸PostgreSQL
https://t.co/VFEilyX1kJ
🔸MySQL
https://t.co/RhFXpgPSFX
🔸SQL Server
https://t.co/koHwMfW57W
🔸Oracle
https://t.co/sYvJSVqNcK
🔸Full Stack Web
https://t.co/mRFjzmQtYQ
🔸Meta Back-End Developer Professional Certificate
https://t.co/r2oj5aYplH
🔸Meta Front-End Developer Professional Certificate
https://t.co/MXMJkfqGgD
🔸Programming with JavaScript
https://t.co/TqDgAA6jhV
🔸Linux
https://t.co/Y5rvEDj29v
🔸DevOps
https://t.co/iZ0QsTuMQn
🔸CI/CD
https://t.co/yiEo81TLzO
🔸Docker
https://t.co/r4WRQyz8kL
🔸Web Applications for Everybody Specialization
https://t.co/mZ6auYtLRx
🔸Kubernetes
https://t.co/HyIrVlqvmB
🔸HTML, CSS, and Javascript for Web Developers
https://t.co/8x3fZTt4CY
Roadmap : AWS DevOps (7 Weeks - 5Days/Week) 🎯
Each week focuses on specific topics with a daily breakdown for a focused learning experience. Remember, becoming an expert takes time and practice beyond this roadmap.
✅ Week 1: AWS Foundational Knowledge
✅ Week 2: Infrastructure as Code (IaC) with CloudFormation
✅ Week 3: Version Control with Git and CodeDeploy
✅ Week 4: Continuous Integration & Delivery (CI/CD) with CodePipeline
✅ Week 5: Infrastructure Monitoring with CloudWatch and CloudTrail
✅ Week 6: Automating Infrastructure with AWS Lambda
✅ Week 7: Advanced DevOps Practices and Security
AWS 30-Day Learning Plan 🚀🚀
Explore each day's content by following the link in the comment 👇👇
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