The purpose of the zerotohero project is to design and execute a structured, modular, and progressive upskilling journey for professionals in technical roles. The goals are:
- Accelerate Technical Proficiency in core modern technologies through immersive, hands-on learning.
- Bridge Knowledge Gaps in foundational and advanced concepts critical for high-performing technical professionals.
- Provide Modular, Level-Based Learning Paths (100, 200, 300 levels) adaptable to beginner, intermediate, and advanced learners.
- Ensure Long-Term Knowledge Retention & Growth via follow-up webinars, projects, assessments, and peer interaction.
- Encourage Real-World Application of learned skills via labs, projects, and scenario-based challenges.
- Foster a Growth-Oriented Mindset combining coding, tooling, infrastructure, AI/LLM awareness, and career progression.
Each module will be:
-
Assigned a level:
100– Foundation200– Practitioner300– Advanced Application
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Delivered with theory + labs + challenges.
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Evaluated via quizzes, mini-projects, and peer reviews.
| Module | Level | Topics |
|---|---|---|
Version Control with Git & GitHub |
100–200 | Branching strategies, PRs, rebasing, workflows |
Python for Engineers |
100–300 | Core syntax, scripting, OOP, testing, automation |
Advanced Debugging & Testing |
200–300 | Pytest, coverage, CI-integrated testing |
| Module | Level | Topics |
|---|---|---|
Command Line Mastery |
100–200 | Powershell, scripting, pipelines |
Dev Environments & IDE Productivity |
100–200 | VSCode, plugins, terminal multipliers |
Containers & Docker |
100–300 | Dockerfile, compose, dev containers |
| Module | Level | Topics |
|---|---|---|
Cloud Fundamentals (Azure/GCP/AWS) |
100–200 | Compute, Storage, IAM, Networking |
Infrastructure as Code with Terraform |
200–300 | Modules, state, deployments |
CI/CD Essentials |
200–300 | Pipelines (GitHub Actions, Azure DevOps), YAML, secrets |
| Module | Level | Topics |
|---|---|---|
AI Fundamentals |
100–200 | ML vs AI, common models, bias, ethics |
Working with APIs & OpenAI SDK |
200 | Using LLMs in apps |
Prompt Engineering & AI Agents |
200–300 | Advanced prompting, vector search, chaining tools |
| Module | Level | Topics |
|---|---|---|
Technical Documentation & Markdown |
100–200 | Docs as code, Obsidian/Notion, Docusaurus |
Effective Project Planning (Agile/Kanban) |
200 | Azure DevOps |
Building a Personal Portfolio & Career Strategy |
200 | GitHub, blogs, self-branding, LinkedIn strategy |
Focus:
- Deliver core 100–200 level modules in a structured, immersive format.
- Each day will blend theory, hands-on labs, and micro-projects.
Sample Schedule Breakdown:
| Day | Focus Area |
|---|---|
| 1 | Git, CLI, Python (100–200) |
| 2 | Python (200), Testing, Debugging |
| 3 | Containers, DevTools, Docs |
| 4 | Cloud Basics, IaC, CI/CD |
| 5 | AI/LLMs, Full Stack Jumpstart |
Cadence: Weekly/Biweekly sessions for 2–3 months Focus:
- Deeper dives (200–300 level) on selected modules
- Live coding, project reviews, real-world case studies
- Optional certifications or badging per module
- Community peer feedback and mentorship
