Accredited IT course · interactive online with mentors
Building AI Agents with Python Course
- Accredited by the Romanian Ministry of Education and Research
- Accredited by the Romanian Ministry of Labour, Family, Youth and Social Solidarity
- Diploma recognized in the EU, USA, and Canada
- Extra bonus: 2 course sessions on Applying Artificial Intelligence in Real Projects
Start date
9 noiembrie
Duration
2 months • 40 hours of training with mentors
Schedule
Mondays and Wednesdays, 18:30–21:00 (2 days / week x 2.5 hours)
Format
Online, interactive, with mentors
Accreditation
Digital Skills – 40 hours
Why take the Building AI Agents with Python course
- Instruction is in Romanian.
- No unnecessary theory — applied to real-world scenarios.
- You'll learn to build complex agentic AI systems capable of performing tasks autonomously.
What do you get after completing the accredited Building AI Agents with Python artificial intelligence course?
Essential skills for developing Agentic AI using Python
- You'll build applications that use artificial intelligence to solve real business problems.
- You'll move from simple experiments to complex AI systems capable of processing data autonomously.
- You'll write fast, correct Python code, using tools that make programs run efficiently.
- You'll orchestrate specialized databases and automated workflows to build a final product.
- You'll develop an intelligent assistant that can read a company's documentation and provide concrete answers or solutions.
Skills relevant to AI projects built in Python
- You'll move from simple scripts to complex agent architectures that work autonomously, gaining flexibility in real projects.
- You'll use modern Python features, including running code across multiple cores at once, to build efficient, scalable systems.
- You'll write robust, easy-to-maintain code that shortens debugging time and improves the reliability of the final product.
- You'll know how to use modern tools that make your working time more efficient.
- You'll be able to turn prototypes into fully functional final products, ready to use in real business contexts.
What will you learn in the Building AI Agents with Python course?
6
modules
18
topics
01Module 1: The “Rust-Python” Ecosystem & Typing
- Tooling: uv (Universal Package Manager) for instant environments.
- Validation: Advanced Pydantic V2+ for strict schema validation (essential for controlling AI outputs).
- Type System: Runtime type checking and structural pattern matching for robust data pipelines.
02Module 2: True Concurrency: No-GIL & Async Patterns
- The Shift: Leveraging Python 3.14+ Free-Threading (No-GIL) for true parallelism without multiprocessing overhead.
- Async Architecture: Combining asyncio with Event-Driven patterns (Kafka/Redpanda) for high-throughput microservices.
- Lab: Building a high-performance ingestion engine that saturates all CPU cores.
03Module 3: The AI Data Layer: RAG & Vector Stores
- Beyond SQL: Implementing Vector Databases (Qdrant/Milvus) directly in Python.
- Semantic Cache: Engineering a caching layer to reduce LLM costs and latency.
- Hybrid Search: Combining Keyword (BM25) with Semantic Search (Embeddings) for enterprise-grade retrieval.
04Module 4: Agentic Architecture & Orchestration
- Orchestration: Moving from “Chains” to Graphs (LangGraph/LlamaIndex Workflows). Building loops, state memory, and human-in-the-loop interruptions.
- Tool Use: defining “Tools” via Pydantic that Agents can reliably execute (SQL queries, API calls).
- Lab: Building an autonomous “DevOps Agent” that can read logs, diagnose errors, and propose fixes via PR.
05Module 5: Production Engineering & Reliability
- Testing the Nondeterministic: How to write pytest suites for AI (Evals) using “LLM-as-a-Judge”.
- Observability: Implementing OpenTelemetry (OTEL) to trace execution across AI agents and microservices.
- Security: Prompt Injection defense and Guardrails.
06Module 6: Capstone Project: The “Corporate Brain” System
- A distributed Python system that ingests internal documentation (PDF/Confluence),
- stores it in a Vector DB,
- exposes a FastAPI endpoint where an Autonomous Agent can answer questions.
You get a complete AI programming with Python training package, with all the benefits included
- 40 hours of LIVE training and step-by-step guidance from mentors
- 6 technical modules focused on the requirements of major IT employers
- Extra bonus: 2 course sessions on Applying Artificial Intelligence in Real Projects
- 100% free knowledge assessment test before you start the course
- Lifetime access to the Informal School of IT community, where you get discounts, free invitations to top IT conferences, and other benefits
Everything is included in the course price
Total course price478.4€
Full payment
598 €
Installment payments at the Informal School of IT
2 installments x 299 € / month
Installment payments with a 5% discount
5% discount
BCR Study UP student loan
Discounts do NOT stack.
Your investment in education: risk-free. You don't have to pay anything now. All you need to do is fill out the enrollment form. Afterwards, you get a free initial assessment of your knowledge level, to make sure this course is right for you and your goals.
Payment is made only after signing the enrollment contract, once you decide you want to move forward. It's simple, transparent, and comes with no upfront financial obligations. Our goal is for YOU to reach your goals.
When you graduate from the Building AI Agents with Python course, you get
- Graduation Certificate issued by the Romanian Ministry of Labour, Family, Youth and Social Solidarity and by the Romanian Ministry of Education and Research, accepted in the European Union as well as in the USA and Canada
- Digital Skills Accreditation – 40 hours
- Certification board exam, included in the price of this course: no hidden costs
- Diploma issued by Educație Informală SA, recognized by employers
Who mentors you step by step in the Building AI Agents with Python course?

Adrian Antochi
Freelance Software Engineer
Who takes the Building AI Agents with Python course
Developers & System Architects. This course is designed for professionals with solid programming experience, who already know Python and the fundamentals of programming, so they can go straight into building complex agentic AI systems, integrating automated workflows, and developing scalable applications.
What advantages does the Building AI Agents with Python course bring you
- You apply agentic AI directly in real projects: you build systems that process data and handle tasks autonomously, not just experiments or scripts.
- You optimize the workflows and performance of your applications: you learn to use modern Python tools and features that make systems faster, more efficient, and more stable.
- You integrate complex components without issues: you connect AI agents, automated workflows, and databases, so your solutions work end-to-end.
- You gain an efficient way of working: you know how to make informed technical decisions, based on the best practices you've learned.
- You follow a progressively structured, hands-on program: it helps you fold everything you've learned directly into your own projects.
- You learn directly from a mentor experienced in building agentic AI systems, gaining practical know-how and a competitive edge over generic courses.
- You're ready to actively contribute to Python-based AI projects: giving you a competitive edge.
- You gain a complete view of the architecture and design of agentic AI systems in Python: you learn to plan, organize, and design scalable, robust systems, ready to be integrated into real projects.
Our graduates work at the biggest IT companies


















































































































































Building AI Agents with Python
Enroll in the course
Your investment in education: risk-free. You don't have to pay anything now. All you need to do is fill out the enrollment form. Afterwards, you get a free initial assessment of your knowledge level, to make sure this course is right for you and your goals.
Payment is made only after signing the enrollment contract, once you decide you want to move forward. It's simple, transparent, and comes with no upfront financial obligations. Our goal is for YOU to reach your goals.
- 1Fill in the form — it takes a minute, no payment.
- 2A counsellor calls you: free initial assessment and career advice.
- 3Sign the contract and pay in full or in interest-free instalments.
Building AI Agents with Python