Crafting tomorrow’s AI talent
Kick-start your career in data and AI with a cutting-edge training and job placement program.
Join the next cohort
The next course starts in September 2025. You can choose between:
Curriculum overview
Foundations of Data Engineering
Week 1
Environment setup & core data skills:
Set up your development environment, learn basic version control with Git, review core Python, and understand data types.
Week 2
Data ingestion & pipeline foundations:
Learn containerization basics with Docker, set up local databases with Python, and build basic ELT pipelines.
Week 3
Transformation, automation, and project design:
Clean and load data, automate pipelines with code testing, and design the architecture for your capstone project.
Week 4
Review & break week
Curriculum flexibility notice
To ensure you receive the most relevant and effective learning experience, we adapt curriculum content based on:
The latest technology trends: The data & AI landscape evolves rapidly. We update our curriculum to reflect the most current and relevant technologies.
Cohort capabilities: We seek to adapt the
pace and depth of content to match the cohort's capabilities.
Job placement
Our job placement support team will help you find the best opportunity for you upon completion of the course.
Foundry AI Academy is dedicated to forging strategic partnerships to secure job placements for all top-performance* graduates.
We are actively expanding our network of local and international job placement partners, aiming to offer you a wide variety of opportunities to choose from based on your interests and goals.
*Graduates who achieve a score of 70% or higher are eligible for a job placement opportunity.
Your future data and AI stack
This program offers a solid foundation in data engineering and AI. While you have the flexibility to choose your own tools for the capstone project, our course demos and examples will primarily utilize this stack.
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IDE/CLI: VSCode, Bash, Zsh
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Version control: Git, GitHub
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Python Package Management: uv, Poetry
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Databases (local): PostgreSQL, DuckDB
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Python data transformation: Pandas / Polars
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CI/CD: GitHub Actions
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Containerization: Docker
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Cloud data warehouse: Snowflake
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Data transformation: dbt
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Streaming platform: Apache Kafka
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Workflow orchestrator: Apache Airflow
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AI agent framework: LangGraph
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Foundation models: GPT, Claude, Gemini
Assessment and certification
The course is designed with a capstone project focus, which you
start building from day one. By the end of the course, you have a fully functional data and AI system to showcase your skills.
Upon successful completion of all course requirements, including passing both the
mid-course assessment and capstone presentation, you will be issued a certificate by Foundry AI Academy to attest to the skills you have learned.
About Foundry AI
Foundry AI Academy is on a mission to bring 10,000 people into the world of data and AI.
The Academy was founded by Nas Radev, CEO of data & AI consultancy and academy Infinite Lambda.
Based in the UK and working with hundreds of international organizations on their modern data and AI capabilities, Infinite Lambda recognized that the main challenge for organizations is a lack of skilled professionals.
As a result, Infinite Lambda launched its first academy in Europe in 2021, and has since helped over 100 people across the UK, France, and Eastern Europe start successful careers in the field.
Hands-on learning experience
The learning experiences are a blend of cutting-edge industry expertise, well-designed training programs, and practical coaching. Pared with job placement for real-world experience, our courses empower you to launch your successful career in data & AI
Focus on skills
in demand
Practical applications with real-world projects
Job placement with leading enterprises
Meet the trainers
Minh Ngo
Data & AI Trainer,
Analytics Engineering Lead
Thu Huynh
Data & AI Trainer,
Analytics Engineering Lead
Dat Nguyen
Data & AI Trainer,
Data Tech Lead
Start your journey in data & AI
Big Data engineering is the #1 fastest-growing job in the world, with AI/ML engineering close behind.
Data and AI engineers are quickly becoming critical for any enterprise. They are a new type of full-stack engineer, combining modern data, analytics, and AI skills to help the business drive incredible value.
All enterprises need data and AI engineers because they enable them to:
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Automate processes across departments;
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Drive efficiency;
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Create new AI-based products.
This course will teach you all you need to know to become an effective data and AI engineer.
Data engineering
Learn how to build modern data pipelines that make critical business data available for analytics and AI.
Big Data
Work confidently with data from multiple systems. Leverage cloud data warehouses and powerful analytical tools.
GenAI & AIOps
Work with GenAI models like GPT, Llama, and others, customizing them to make them useful to specific projects.
Automation
Use RPA and AI techniques to implement automation to make internal operations more efficient at scale.
The data and AI engineering path
After completing the course, you can apply for jobs in modern enterprises or start a freelancing career. Relevant roles include:
data engineer, data architect, data integration specialist, Big Data engineer, data pipeline engineer, ELT developer, data infrastructure engineer, data operations (DataOps) engineer, database platform engineer, analytics engineer
AI engineering jobs:
data & AI engineer, AI engineer, MLOps engineer, AI & automation engineer, prompt engineer, AI infrastructure engineer, GenAI developer
