AI Native Engineer Core

Phase 0

Certification Orientation

0

Phase 1

MLOps Infrastructure Foundation

1

Phase 1

The Mindset Shift

1

Phase 2

Reproducible Training And Experimentation

2

Phase 2

How LLMs Actually Work

2

Phase 3

ML Lifecycle, Deployment, And Operations

3

Phase 3

Context Windows & Budgets

3

Phase 3

Working With LLMs — API Surface

3

Phase 4

Embeddings & Semantic Search

4

Phase 4

Prompt Engineering

4

Phase 4

Monitoring, Drift, And ML Reliability

4

Phase 5

Search, Retrieval, And RAG

5

Phase 5

LLMs And The Outside World

5

Phase 5

GenAIOps Infrastructure And Prompt Lifecycle

5

Phase 6

Context Engineering

6

Phase 6

GenAI Quality, Observability, And Safety

6

Phase 7

Tokens And Tokenization

7

Phase 7

GenAI Optimization And Exam Readiness

7

Phase 8

Advanced RAG

8

Phase 8

Eval, Monitoring, And Observability

8

Phase 9

AI Coding Agent Workflow

9

Phase 10

AI Security & Guardrails

10

Phase 9000

Basics von Künstlicher Intelligenz

Phase 9000

Embeddings

Phase 9000

AI for Product Management

Phase 9000

How LLMs work under the hood

Phase 9000

RAG

Phase 9000

ein bestehendes Modell wie GPT für den deutschen Rechtsbereich fine…