Agentic AI Engineering — 60-Hour Program | FastTrackIT

Advanced program • Live online

Agentic AI Engineering

Build robust, verifiable AI agents and applications: tools, orchestration, evaluation, guardrails, observability and cost control.

60 hours20 sessions × 3h
Online liveworkshops and feedback
2 tracksTypeScript or Python
1.500 €per participant

Apply to the programView the programs

Who it is for

From AI user to agentic-systems builder

Best suited for

  • developers with at least two years of experience;
  • full-stack or backend engineers who want to integrate AI into real products;
  • technical leads and teams preparing AI applications for production;
  • advanced junior developers with strong foundations and time to practise between sessions.

This is not a beginner course

  • it does not start from programming fundamentals;
  • it does not focus on ML research or model training;
  • it requires familiarity with HTTP/REST, Git and APIs;
  • it requires at least four hours per week for the project and further study.

Open cohorts

Choose the ecosystem you work in

Starts October 5, 2026

TypeScript, React & Agentic AI

Trainer: Gabriel Imre

A track for JavaScript and TypeScript developers who want to build agents and AI interfaces with streaming, tools and controllable workflows.

  • LangChain v1, LangGraph, Deep Agents
  • Next.js, TypeScript, Zod, Supabase
  • 20 online sessions × 3 hours
  • Delivered in Romanian

Apply to the program

February 2027

Python & Agentic AI Engineering

Trainer: Ionel Condor

A track for developers who use Python or want to build backend services, automation and robust agentic systems.

  • agents, tools and orchestration in Python
  • evaluation, observability and security
  • 20 online sessions × 3 hours
  • The exact date will be confirmed with the group

Join the interest list

Prerequisites

Optional Module 0 to align the group

Before the main program, we can provide a short preparation module when needed. It does not replace programming experience; it aligns participants on the concepts required for the course.

TypeScript

async/await, generics, React basics and working with APIs.

Python

types, async programming, application structure, APIs and testing.

AI foundations

LLMs, tokens, prompting, context and responsible API use.

Indicative curriculum

From foundations to a project verified through testing and evaluation

1. Foundations and context engineering — 9hThe AI application ecosystem, prompt engineering, streaming, context structure and LLM economics: cost, latency and routing.
2. Agents, tools and middleware — 15hBuilding agents with custom tools, input validation, memory, middleware and API integration.
3. Stateful workflows and Human-in-the-Loop — 6hPersistence, execution resumption, human approvals and multi-mode streaming.
4. Multi-agent systems — 6hFive coordination patterns, choosing between single-agent and multi-agent approaches and implementing a complete workflow.
5. Agent harnesses and automation — 6hDeep Agents, workflow automation, policies for tool access and API governance.
6. Evaluation, security and operations — 9hSystematic evaluations, observability, layered guardrails, monitoring, deployment and cost control.
7. Final project — 9hArchitecture review, implementation, testing, demo and a production improvement plan.

The curriculum is updated before each cohort to reflect rapid changes in the AI ecosystem without altering the defined learning outcomes.

Outcomes

Concrete outcomes, not just familiarity with tools

Build

A complete AI application with tools, an interface, data and controllable workflows.

Evaluate

The quality of a non-deterministic system through tests, traceability and relevant metrics.

Protect

Data and operations through validation, approvals, guardrails and access controls.

Trainers

Real engineering and leadership experience

Gabriel Imre

Technical Lead, LeadIQ

Consultant and technical lead with extensive experience in JavaScript, React, Node.js, web systems and technical delivery leadership. He leads the TypeScript/React cohort.

Ionel Condor

Director of Engineering, RWS

Over 20 years in software engineering and more than 15 years in leadership. He has worked with AI and machine translation since 2009, codes in Java and Python, and has delivered over 700 hours of training.

Investment

An intensive program with direct practical application

1.500 €

per participant

  • 60 live hours;
  • feedback on exercises and the project;
  • resources and support through the group channel;
  • evaluation and final-project presentation.

For teams and companies

We adapt the examples, technology stack and project to the organization’s context. The program can be delivered in Romanian or English, online or on site.

Team packages and corporate delivery are quoted separately.

View the corporate offer

Frequently asked questions

Before you apply

Can I participate without two years of experience?

Yes, if you already have strong projects and pass a technical discussion. Module 0 helps align the group but does not turn the program into a beginner course.

Do I need to choose TypeScript or Python?

Yes. The learning outcomes are similar, but the exercises, libraries and project follow the cohort’s stack.

Can the program be delivered in English?

Yes. English delivery is available for corporate groups and, on request, for international cohorts.

Is the curriculum fixed?

The structure and outcomes are stable. Tools and examples may be updated before the start to avoid teaching outdated versions.

Next step

Tell us what you are building and we will recommend the right cohort

We will reply with details about selection, schedule, Module 0 and options for teams.

Apply to the program

Application and interest

Tell us which track suits you

Complete the form for the TypeScript/React cohort starting October 5, 2026, the Python interest list or a dedicated program for your team.

Application form

Apply to Agentic AI Engineering

Choose the right cohort. The TypeScript/React track starts on October 5, 2026; for Python, you can join the interest list for February 2027.

We do not request your date of birth or address at this stage. If you continue the enrollment process, any required documents are requested separately.

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