Corporate training for modern teams

Corporate training in AI and technical skills

Practical programs for engineering, leadership, security and compliance teams — built around your organization’s processes, tools and objectives.

5.000+graduates and participants
10+ yearsof practical IT education
1.000+hours of corporate training
500+corporate participants

Aggregated data from FastTrackIT internal records.

2026 portfolio

Practical programs for teams

We select the modules together and adapt them to the participants’ level. Programs can be delivered online or at your company’s premises, in Romanian or English.

01

Agentic Engineering

Agentic software engineering

Development workflows with AI agents, from context and prompts to validation, guardrails and team integration.

Engineering

QA and testing in the agentic era

Generate, prioritize and maintain tests with AI without losing traceability or quality control.

QA

Maintaining AI-generated codebases

Conventions, refactoring and technical-debt control when code is written together with agents.

Software quality
02

Compliance & Security

AI literacy and responsible adoption

What employees need to know to use AI responsibly, including risks, limitations and practices relevant to Article 4 of the AI Act.

AI Act

AI governance & compliance

Roles, policies, use-case classification and controls that turn principles into operational processes.

Governance

Secure coding & AppSec

Secure development practices, threat modelling and practical checks in a NIS2 context.

NIS2
03

Leadership and AI adoption

Leadership for augmented teams

Appropriate decisions, responsibilities and metrics for teams where people collaborate with AI tools.

Leadership

AI workflow automation

Identify the right processes, prototype quickly and measure value before scaling.

Operations

Data literacy and critical analysis

Interpret data and AI outputs, ask better questions and recognize fragile conclusions.

Decision making
In development, based on organizational needs:
Secure AI SDLCLLMOpsCRA readinessData sovereignty & EU CloudApplied NIS2

How we work

From a real need to observable change

We do not start with a standard course. We start with the team’s context and build a path designed to produce results.

STEP 01

Discovery

We clarify roles, current skill levels, processes and desired outcomes.

STEP 02

Curriculum

We select the relevant skills, exercises and tools.

STEP 03

Pilot

We validate the format with a representative group and adjust the content.

STEP 04

Implementation

We deliver the program, assess progress and provide the agreed participation documents.

Case study

Agentic AI & React, tailored to a real context

A program built for a technical team, with demonstrations and exercises based on day-to-day workflows.

Topics covered: LangChain · LangGraph · LangSmith · guardrails · evaluation · deployment

Program at a glance

20 × 3hpractical sessions
100%tailored curriculum

A practice-led structure with demonstrations, a project and continuous feedback.

Flexible format

Configured around your team’s pace

From intensive workshops to internal academies, while staying connected to day-to-day work.

  • Online or at your company’s premises
  • One- or two-day workshops or programs of up to 80 hours
  • Recommended groups of 8–15 participants
  • Tailored curriculum, materials and project
  • Assessment and participation documents agreed together
  • Optional recordings and follow-up sessions
The final proposal, schedule and budget are agreed after the discovery session.

Request an initial call

Tell us what you want to improve within your team. We will follow up to clarify the objectives and suitable format.










    After submission, we will use the details provided to contact you and clarify the objectives and suitable format.

    Available programs and formats

    Choose the right starting point for your team

    We start with the team’s objective and current level. The structure, schedule and budget are agreed after a discovery call about participants, examples, delivery and outcomes.

    2–4 hours · max. 15

    AI Literacy & Safe Use

    Responsible AI use, risks, output verification and rules tailored to each role.

    Proposal after discovery call Request a call
    12–20 hours · max. 10

    AI Workflow Discovery + Pilot

    We identify the right processes, prioritize opportunities and build a measurable pilot.

    Proposal after discovery call View the program
    30 hours · max. 10

    AI-Assisted Engineering

    Python & Automation or Java & Backend tracks, built around the team’s stack.

    Proposal after discovery call Configure the program
    40 hours · individual enrollment

    Software Testing (QA) for professionals

    QA processes, manual testing, APIs, Playwright, K6, Git and AI-assisted testing.

    €790 + VAT / participant For teams, the proposal is defined after a discovery call View the corporate program
    60 hours · max. 10

    Agentic AI Engineering

    Agents, tool use, orchestration, evaluation, security and an applied project for technical teams.

    Proposal after discovery call View the program

    Next step

    Tell us what the team should be able to do after the training

    We recommend the right program, level and format without forcing a standard curriculum onto a real need.

    Schedule a discovery call