Python & AI Development Training for Teams
Linear Python path from beginner to advanced, plus Docker, Kubernetes, Terraform, and Airflow infrastructure bundles. The foundation for all AI/ML work. Led by Microsoft Certified Trainer Axel Sirota.
Get Your Development Training PlanFree consultation · No minimum seats
Overview
Every AI journey starts with solid programming foundations. This path takes your team from absolute beginner to advanced Python developer in a clear, linear progression. Each 3-day course builds directly on the previous one, so there's no guessing what to learn next.
Beyond Python, we offer infrastructure bundles for teams deploying AI to production: Docker & Kubernetes for containerization, Terraform for infrastructure as code, Apache Airflow for ML pipeline orchestration, and Kafka for real-time data streaming.
Courses in This Path
Learning to Code in Python
Start from zero. Learn programming logic and write your first Python programs.
Python Fundamentals
Master core Python: data structures, functions, classes, files, and APIs.
Python Intermediate
OOP, decorators, generators, and advanced patterns for production code.
Python Advanced
Metaclasses, async programming, performance optimization, and Python internals.
Who Is This For?
- ✓Non-technical staff reskilling into development roles, with no programming experience
- ✓Teams needing Python foundations before AI/ML training
- ✓DevOps engineers learning Docker, Kubernetes, and Terraform
- ✓Data engineers building ML pipelines with Airflow
- ✓Organizations standardizing on Python for AI development
Key Topics Covered
Simple, Transparent Pricing
$2,500/day
Up to 10 students per session · No minimum seats
That's 80% less than enterprise training providers charge for the same quality. Custom curriculum, live instructor, hands-on projects — all included.
Get Your Development Training PlanFrequently Asked Questions
Can complete beginners really learn Python in 3 days?
Yes — "Learning to Code in Python" is designed for people with zero programming experience. In 3 days of hands-on training, your team will write real Python programs. It's the same quality as our advanced courses, just starting from the beginning. Many teams follow up with Python Fundamentals the next week.
How much Python do we need before starting AI/ML courses?
Python Fundamentals (6 days total from zero) is enough for our ML & AI beginner courses. Python Intermediate (9 days from zero) is needed for GenAI/LLM and Agentic AI courses. We often combine Python + AI training in a single multi-week engagement.
Do you offer Docker/Kubernetes/Terraform training separately?
Yes. Infrastructure bundles (Docker & Kubernetes: 13 days, Terraform: 11 days, Airflow: 8 days, Kafka: 6 days) can be booked independently. They're popular with DevOps and MLOps teams who need to deploy AI models to production.
More questions? Read the full corporate AI training FAQ — 25 answers on pricing, team size, formats and prerequisites.
Other training paths for your team
Teams often combine paths — foundations first, then the specialised track. Every path is priced the same way, from $2,500 per training day.
Generative AI & LLM Training for Teams
Prompting, RAG and fine-tuning for teams putting large language models into production.
6 courses · 11-13 days
Agentic AI Training for Teams
Build agents that plan and act, using LangGraph, LangChain and MCP.
6 courses · 7.5-10 days
Machine Learning & AI Training for Teams
The foundations under everything else: the ML track to take before the GenAI paths.
6 courses · 5-20+ days
AI Training for Customer Support Teams
A support-specific path: grounded answers, escalation design and evaluation from real tickets.
4 courses · 7 days
Ready to Train Your Team?
Tell us about your team and goals. We'll create a custom training plan with the right courses, schedule, and pricing for your organization.
Get Your Development Training PlanFree consultation · No minimum seats · 100% satisfaction guarantee