4 Professions in this track
Artificial intelligence & neural networks
Future-facing professions in artificial intelligence and neural networks: LLMs, RAG, MLOps and AI infrastructure.
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Professions in this track
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AI engineer (RAG/LLM)
Assistants and knowledge search
What you'll learn
- RAG
- Vector DBs
- Prompts
- Evaluation
- Ops
MLOps engineer
Shipping ML to production
What you'll learn
- Pipelines
- Containers
- Monitoring
- Versioning
- Security
AI trainer
Data and fine-tuning
What you'll learn
- Data
- Labeling
- Training
- Metrics
- Ethics
AI DevOps engineer
Infrastructure for AI services
What you'll learn
- Kubernetes
- GPU
- Observability
- CI/CD
- Cost
Compare professions
Salary benchmarks and demand — to choose the right starting point.
ProfessionStart (Junior)Growth (Senior)Demand
- AI engineer (RAG/LLM)Start (Junior): $1,200 – $1,800Growth (Senior): from $4,400High demand for AI products
- MLOps engineerStart (Junior): $1,200 – $1,800Growth (Senior): from $4,200Critical for data teams
- AI trainerStart (Junior): $1,000 – $1,600Growth (Senior): from $3,800Data quality = AI quality
- AI DevOps engineerStart (Junior): $1,200 – $1,800Growth (Senior): from $4,500The bridge between DevOps and ML
Ranges reflect the market; they vary by region, company and experience.
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