Phase 1: Foundations + AI-103 + Positioning (Weeks 1–4)
Objective: Build the technical and positioning foundation for entering the v4 plan: applied Python, professional presence, and AI-103 readiness.
🎯 Expected Outcomes
By completing this phase:
- Solid understanding of what AI is and how it transforms industries
- Functional basic Python for automation
- Git/GitHub operational with your own repository
- AI-103 readiness defined by domain (with a gap matrix)
- LinkedIn and GitHub configured professionally
Week 1: AI Foundations
Objective
Understand how AI is changing the labor market and industries.
Main Resources
| Resource | Language | Type | Duration |
|---|---|---|---|
| Elements of AI | 🇪🇸 Spanish | Free course | 6-8 hrs |
| Microsoft AI Skills Navigator | 🇬🇧 English | Learning paths | 4-6 hrs |
| Google AI Essentials | 🇪🇸 Spanish | Course | 4 hrs |
| IBM AI Fundamentals | 🇬🇧 English | Course | 3 hrs |
Daily Activities (Monday to Friday)
| Day | Activity | Time |
|---|---|---|
| Monday | Elements of AI — Chapters 1-2 | 2 hrs |
| Tuesday | Elements of AI — Chapters 3-4 | 2 hrs |
| Wednesday | Microsoft AI Skills — Module 1 | 2 hrs |
| Thursday | Google AI Essentials — Module 1 | 2 hrs |
| Friday | Reflection + learning journal | 1 hr |
Weekly Deliverables
-
Updated LinkedIn profile
- Headline: "IT Professional | Transitioning to AI & Cloud Security"
- About: Include forensics experience + AI vision
- Skills: Add AI, Cloud Computing, Cybersecurity
-
GitHub account created
- Professional photo
- Descriptive bio
- Profile README
-
Learning Journal (document in GitHub)
- What did I learn this week about AI?
- How does it connect to my prior experience?
- What opportunities do I see?
Connection to Prior Experience
Your background in digital forensics gives you an advantage:
- Pattern analysis → foundation of Machine Learning
- Chain of custody → AI Governance and audit trails
- Investigation → analytical thinking for AI
- Documentation → transferable skills for AI compliance
Week 2: Python for AI Professionals
Objective
Basic Python programming focused on automation and data handling.
Main Resources
| Resource | Language | Type | Duration |
|---|---|---|---|
| Python para Todos (Py4E) | 🇪🇸 Spanish (subtitles) | Free course + book | 10-12 hrs |
| Microsoft Learn: Python | 🇪🇸 Spanish | Learning Path | 6 hrs |
| Codecademy Python | 🇬🇧 English | Interactive | 8 hrs |
| Automate the Boring Stuff | 🇬🇧 English | Free book | Reference |
Daily Plan
| Day | Topic | Resource |
|---|---|---|
| Monday | Variables, data types, strings | Py4E Cap 1-2 |
| Tuesday | Conditionals and loops | Py4E Cap 3-5 |
| Wednesday | Functions | Py4E Cap 4 |
| Thursday | Files and CSV | Py4E Cap 7 |
| Friday | Basic APIs (requests) | Microsoft Learn |
| Saturday | Project of the week | — |
🔨 Project: Security Log Automator
"""
Proyecto: Security Log Collector
Objetivo: Leer archivos de logs, extraer eventos críticos, generar CSV
Conexión con forensics: Automatización de lo que antes hacías manualmente
"""
# Habilidades demostradas:
# - Lectura de archivos
# - Parsing de texto
# - Escritura de CSV
# - Funciones reutilizables
Deliverable: GitHub repository with:
- Functional script
- README.md explaining the project
- Input/output example
- Documentation on how to run it
Week 3: Git and GitHub
Objective
Master the Git workflow for code and documentation management.
Main Resources
| Resource | Language | Type | Duration |
|---|---|---|---|
| GitHub Skills | 🇬🇧 English | Interactive | 4-6 hrs |
| Pro Git Book | 🇪🇸 Spanish | Free book | Reference |
| Microsoft Learn: Git | 🇪🇸 Spanish | Learning Path | 3 hrs |
| Git Immersion | 🇬🇧 English | Labs | 2 hrs |
Daily Plan
| Day | Topic | Practice |
|---|---|---|
| Monday | Installation, config, first commit | GitHub Skills: Intro |
| Tuesday | Branches, merge, conflicts | GitHub Skills: Branch |
| Wednesday | Pull requests, reviews | GitHub Skills: PR |
| Thursday | GitHub Pages, basic Actions | Static deploy |
| Friday | Repo organization, templates | Create portfolio repo |
🔨 Project: Professional Portfolio Repository
Create and publish an organized repository with:
portfolio/
├── README.md # Presentación profesional
├── projects/
│ └── security-log-collector/ # Proyecto semana 2
├── certifications/ # Tracking de certificaciones
├── notes/ # Notas de aprendizaje
└── docs/ # Documentación
Deliverable: Public GitHub repository with a professional structure.
Week 4: Azure AI Foundations for AI-103
Objective
Map Azure AI and agent fundamentals to the AI-103 domains so gaps are closed early.
Main Resources
| Resource | Language | Type | Duration |
|---|---|---|---|
| AI-103 Certification Page | 🇬🇧 English | Official reference | 1 hr |
| AI-103 Study Guide | 🇬🇧 English | Official guide | Reference |
| Step 1: Your First Agent | 🇬🇧 English | Guided lab | 1-2 hrs |
| Azure AI Foundry Training | 🇬🇧 English | Learning paths | 4-6 hrs |
Daily Plan
| Day | AI-103 Domain | Topic |
|---|---|---|
| Monday | Domain 1 | Plan and manage Azure AI solutions |
| Tuesday | Domain 2 | Implement generative AI and agentic solutions |
| Wednesday | Domain 3 | Implement computer vision solutions |
| Thursday | Domain 4 | Implement text analysis solutions |
| Friday | Domain 5 | Implement information extraction solutions |
| Saturday | Practice | Gap matrix + objective-based rehearsal |
Certification milestone: AI-103 readiness
- Cost: Price by region (Pearson Vue)
- Exam language: English (validate current availability)
- Format: Proctored assessment, 120 minutes
- Passing score: 700/1000
- Recommended preparation: Initial 2-week sprint + domain gap closure
Connection to Prior Experience
- IT Management → You already understand infrastructure, now in cloud
- Forensics → Cloud forensics is a growing field
- Operations → Cloud Operations (CloudOps) is high demand
📋 Phase 1 Checklist
- LinkedIn updated with the new professional focus
- GitHub account with complete profile
- Elements of AI completed
- Functional basic Python (log script)
- Git workflow mastered
- Portfolio repository created
- AI-103 domain matrix completed
- AI-103 gap closure plan defined
- Learning journal up to date
v4 Operations
⏭️ Next Phase
Phase 2: Technical Portfolio — RAG, Agents, and Evaluation →