Prompting, context & evals · Live online

Build Reliable AI Solutions

Build more reliable AI-assisted workflows through clear instructions, controlled context and reproducible evaluation. The focus is on criteria, testing and engineering decisions, not prompt collections.

12 hours 4 sessions × 3 hours
Live online technical workshops
Intermediate level for technical roles
Evaluation pack applied project

Who this is for

For technical teams that need verifiable outcomes

This program is suitable for

  • developers who use AI models for coding, analysis, documentation or prototyping;
  • QA and automation specialists who need to test systems with probabilistic outputs;
  • technical leads and solution architects who define standards and guardrails;
  • product professionals with technical experience who own criteria and acceptance.

What to know before you join

  • this is not an introduction to programming or basic chatbot use;
  • this does not replace Agentic AI Engineering for complete agentic systems;
  • it does not promise a universal prompt or perfect outcomes;
  • it assumes familiarity with software processes and technical examples.

Outcomes

What you will be able to do

Define success before the prompt

Build criteria, test sets and rubrics that separate a convincing demo from a useful outcome.

Control instructions and context

Use instruction hierarchies, examples, structured output and grounding, and recognize when prompting is no longer sufficient.

Measure quality and risk

Compare variants, track regressions and document security, cost, latency and human verification.

Indicative curriculum

From fundamentals to the final project

1. Success criteria, prompt and context Success criteria, instruction hierarchy, context windows, examples, constraints and structured output.
2. Grounding, tool use and architecture decisions When to choose a prompt, workflow, retrieval or agent; sources, state, errors and the limitations of each approach.
3. Evals and regression testing Test sets, rubrics, code-based graders, LLM-as-judge, human review and result interpretation.
4. Safety, cost and final workshop Prompt injection, sensitive data, model selection, cost and latency, versioning and an applied evaluation pack.

The curriculum is reviewed before each cohort to keep tools and examples relevant without changing the stated learning outcomes.

Trainer

Practical experience, explained clearly

Ionel Condor

AI & Software Engineering Trainer

He has more than 20 years of software-development experience and more than 15 years in technical leadership. He works with teams and professionals to turn AI tools into practical, verifiable and responsible processes.

Investment

Choose the appropriate track

Build Reliable AI Solutions

The intensive 12-hour program, workshops, materials and final evaluation pack.

450 € + VAT / participant

Total including VAT: 544,50 €

Full payment: 405 € + VAT, with a 10% discount (490,05 € VAT included).

Payment in 2 installments: 225,00 € + VAT / installment.

Apply now

Practical AI + AI Engineering Essentials bundle

Both public programs, 33 hours in total. Save €150 compared with separate enrollment.

790 € + VAT / participant

Total including VAT: 955,90 €

Full payment: 790 € + VAT (955,90 € VAT included).

Payment in 2 installments: 395,00 € + VAT / installment.

Apply now

Frequently asked questions

Before you apply

How is this different from Agentic AI Engineering?

This program is a concise foundation in prompts, context and evaluation. Agentic AI Engineering covers architecture, tool use, memory, orchestration and complete agentic systems.

What technical experience is required?

You should understand a software workflow and be able to read technical examples. Previous experience with agent frameworks is not required.

Do we use a single model or vendor?

No. The principles and evaluations are transferable. Examples use suitable tools available at the time of the cohort.

What will I deliver at the end?

A compact set of criteria, test cases, rubrics and evaluation results for an AI-assisted workflow selected with the trainer.

Application form

Apply for AI Engineering Essentials

Join the list for the next technical cohort. We will follow up with the date, schedule, agreement and confirmation steps before the program starts.

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.