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Understand AI. Build it. Test it. Secure it.

Start with no technical background, then progress through programming, data, mathematics, machine learning, LLMs, retrieval, agents, evaluation, deployment, and architecture.

Start PH-AI-101 · AI Foundations and Responsible Practice →

Course status: PH-AI-101 is a complete self-paced classroom with local progress and a self-attested capstone. The other pathway titles remain planned. The standalone practice labs below are simulations, not full courses or certificates.

Academy map v0.2 · Published and reviewed September 2026 · Browser simulations use synthetic data and no paid API keys.

Six levels. A clear way in.

LEVEL 1

AI Literacy

Understand major branches, capabilities, limitations, privacy, and responsible use.

Start with: None
LEVEL 2

AI User & Practitioner

Apply AI to work with repeatable prompts, verification, and human review.

Start with: AI Literacy
LEVEL 3

AI Builder

Create structured workflows, retrieval prototypes, and safe automations.

Start with: AI Practitioner; basic logic
LEVEL 4

AI Developer

Integrate code, APIs, data, tools, tests, and user interfaces.

Start with: Python or JavaScript; SQL; APIs
LEVEL 5

AI Engineer

Design, evaluate, secure, deploy, and monitor AI systems.

Start with: Software development; data; ML and LLM foundations
LEVEL 6

Advanced AI Engineer

Optimize models and infrastructure; study research, RL, and architecture.

Start with: AI Engineer; statistics and linear algebra

Career pathways

PLANNED PATHWAY

AI Literacy

  1. AI Fundamentals
  2. Generative AI
  3. Prompt Engineering
  4. AI Productivity
  5. Responsible AI

Portfolio goal: Document a verified AI-assisted workplace workflow.

Related roles: AI Analyst

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PLANNED PATHWAY

AI Automation Specialist

  1. AI Fundamentals
  2. Prompt Engineering
  3. Workflow Automation
  4. APIs
  5. Tool Calling
  6. AI Agents
  7. Automation Capstone

Portfolio goal: Build a fictional approval-based workflow with retries and logs.

Related roles: AI Automation Specialist

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PLANNED PATHWAY

Machine Learning Engineer

  1. Python
  2. Math for AI
  3. Data Analytics
  4. Machine Learning
  5. Deep Learning
  6. MLOps
  7. Cloud AI
  8. ML Engineering Capstone

Portfolio goal: Train and evaluate a model on a safe dataset, document leakage checks.

Related roles: Machine Learning Engineer, Data Scientist

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PLANNED PATHWAY

AI Engineer

  1. Python
  2. SQL
  3. APIs
  4. LLMs
  5. Embeddings
  6. RAG
  7. AI Agents
  8. Evaluation
  9. AI Security
  10. Deployment
  11. AI Engineering Capstone

Portfolio goal: Ship a documented retrieval app with tests, logging, and a security review.

Related roles: AI Engineer, AI Developer

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PLANNED PATHWAY

Generative AI Engineer

  1. Python
  2. APIs
  3. LLMs
  4. Prompt Engineering
  5. Embeddings
  6. RAG
  7. Tool Calling
  8. Agents
  9. LLMOps
  10. GenAI Capstone

Portfolio goal: Build a grounded assistant with tool approval and regression checks.

Related roles: Generative AI Engineer

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PLANNED PATHWAY

AI Product Manager

  1. AI Fundamentals
  2. AI Product Strategy
  3. AI UX
  4. Evaluation
  5. Responsible AI
  6. AI Governance
  7. Product Capstone

Portfolio goal: Write an AI product brief, risk review, evaluation plan, and launch metrics.

Related roles: AI Product Manager

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PLANNED PATHWAY

AI Business Professional

  1. AI Fundamentals
  2. Prompt Engineering
  3. AI Productivity
  4. AI Automation
  5. AI Strategy
  6. AI Transformation

Portfolio goal: Design a measured adoption pilot with human oversight.

Related roles: AI Consultant, AI Analyst

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Start coding when you are ready

The JavaScript Programming Foundations classroom provides runnable browser code practice. For Python and ML, use the official free references in the source library while full PeyHire Python execution and long-form courses are developed.