Free masterclass: Learning Path & Roadmap
How to get hired as
AI Data Engineer
From the data you already manage to the AI systems companies are hiring for.
AI for Data Engineers on AWS and Azure, with Databricks
- ✓Free masterclass: live, focused learning with no fluff
- ✓Live Q&A with a real AI Data Architect, not a recorded replay
● Reserve your free spot
Register for the free masterclass
✓ No spam
✓ Free masterclass
✓ Live Q&A included
This is a hands-on teaching session, not a sales pitch. We'll share one clear next step near the end. Stay only if it's useful to you.
What You're Going To Learn
Inside the free masterclass
1
Layoffs vs hiring: current job trends and why AI skills are key for data professionals, now and in the future
2
Job roles and salaries you can expect as an AI Data Engineer
3
Learning from a real AI Data Architect
- Why the AI Data Engineer role exists
- What the role does day to day
- Who the ideal candidates are
- The learning journey, from foundations to demo day
- Tools you'll use: hands-on with the current tech stack
- Roadmap and learning outcome
4
The proven 3-step framework that took me from under $100/month to £1,200/day and helped 46,000+ students like you get a high-paying job (an extra $20K to $40K)
5
Live Q&A and your clear next step
The AI + Data Stack You Build With
The tools hiring teams ask for
AI agents
LLMs
RAG
Vector search
MCP
GraphRAG
Text-to-SQL
Guardrails
Databricks
MLflow
AWS
Azure
Data is the hardest part of AI. You already have it.
Who Is This For
Who should join this class?
DBAs
Keep data AI-ready, secure and fast for AI apps.
Data engineers
Build the pipelines that feed RAG and agents.
Data analysts
Go from dashboards to asking AI questions of company data.
Data architects
Design how AI connects to company data.
The Demand
Where AI skills and data meet is where the hiring is.
73%
Tech job postings that now list AI skills
60%
AI projects without AI-ready data predicted to be abandoned
45%
Data and analytics postings that mention AI
+88%
Year-on-year growth in AI and ML postings
Your Host
Taught by someone who has run data systems.
Atul
Multi-cloud, Data & AI Architect, K21 Academy
About 25 years in IT. His own career includes Oracle DBA, Apps DBA and data engineer roles, so he knows the path you are on from the inside. K21 Academy has trained 46,000+ professionals.
RBSUK NHSScottish GovernmentToyotaWorldPayOracleHP
Real Transitions. Real Offers.
The path works when you work it.
Public reviews, real names. Part of the 46,000+ professionals K21 has trained across Cloud, Data & AI on AWS & Azure.
“
I have finally secured a contract-to-hire role as a Generative AI Engineer. I was deploying a RAG pipeline to a web app during the actual hiring process. The projects I built at K21 were exactly what the company needed.
“
The training at K21 Academy was truly excellent, and I'm thrilled to share that I've successfully landed a job as an AI Engineer! The practical labs gave me much-needed hands-on experience with Azure AI services, Azure AI Foundry, and OpenAI. The projects also helped me build a solid portfolio on LinkedIn.
Gopinath · Cloud Architect
Narasimham · Platform Engineer
Osaghae Edobor · Azure Cloud Engineer
Devesh · Azure Solutions Architect
Shouvik · Senior Enterprise Architect
Meghana · Career gap to working with BT
Rajalakshmi · Career gap to job at Infosys
Winifred · Job offer in Canada
Hear it directly from them
Video stories from K21 learners.
Real K21 Academy learners on how they moved into high-paying AI, Data & Cloud roles.
Data is the hardest part of AI. You already have it.
Join the free masterclass for the learning path and roadmap to get hired as an AI Data Engineer on AWS and Azure, with Databricks.
Reserve my spot