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Artificial Intelligence

AI for Engineering Leaders

Lead, measure and scale AI-enabled engineering teams with confidence.

A practical, team-level leadership programme for engineering managers and technology leaders.
2 professional people learning about data

At a glance

What you need to know

Over three days, participants learn to set the standards and guardrails that make AI adoption productive and safe, recognise the common failure modes, evidence real productivity gains, and apply AI to their own planning and delivery workload. The programme runs with extensive applied examples and case studies throughout.

  • 3-day leadership programme
  • 5 core sessions plus a leadership commitment close
  • Practical and team-level, built around applied case studies
  • Designed for engineering managers and technology leaders
The programme at a glance
3 days
5 core sessions

Outcomes

What you'll gain

Lead AI-enabled engineering teams: set standards and guardrails, and coach prompt discipline and output validation across pods

Recognise and manage the common failure modes of AI-assisted engineering, including automation bias, hallucination risk and over-reliance

Define and track practical AI adoption metrics at team level, and evidence productivity gains and ROI to stakeholders

Understand the new dynamics of estimating, planning and costing engineering programmes where humans work alongside agents, and apply tokenomic best practice

Apply AI to their own management workload, including sprint planning, delivery reporting and decision support

About the programme

Key facts

Delivered by practitioners with hands-on engineering leadership experience, the programme combines short conceptual input with extensive applied examples and case studies, so leaders leave with a concrete plan for what changes for their team following the training.

 

About our training partner - Neueda

Neueda is the training delivery partner for this engineering leadership course. We work with organisations to turn AI strategy into practical, applied capability, pairing structured learning design with instructors who bring real hands-on delivery experience. Every programme is built to be hands-on and outcome-focused, grounded in the tools and challenges participants face in their own roles.

Course content

What you'll cover

Session 1
Leading AI-Enabled Engineering Teams

Enabling productive, responsible adoption across pods.

Setting standards and guardrails for AI-assisted coding, testing and review

Coaching prompt discipline and output validation

Supporting consistent adoption across pods and squads

Session 2
Common Failure Modes and Risk Awareness

Balancing experimentation with risk awareness.

Automation bias, hallucination risk and over-reliance

What breaks in AI-assisted coding and review, and the signals to watch for

Embedding responsible AI behaviours day to day

Session 3
Metrics That Matter

Evidencing productivity gains and ROI.

Practical AI adoption metrics at team level

What “good” AI usage looks like in high-performing teams

Reporting productivity gains and ROI to stakeholders

Session 4
Estimating and Costing with AI Agents

Applying tokenomic best practice to programme planning and delivery costs.

The new dynamics of estimating, planning and costing engineering programmes where humans work alongside agents

Tokenomic best practices for scoping, budgeting and pricing AI-assisted work

Translating agent and token costs into estimates and business cases stakeholders can trust

Session 5
AI for the Leader's Own Workload

Turning AI into a leadership multiplier.

AI-assisted sprint planning and backlog refinement

Drafting status reports, technical summaries and governance reports

Decision support and structured problem analysis

Programme Close: Leadership Reflection and Commitments

Each leader commits to one concrete change in how their team works with AI

Commitments are captured across the cohort as the basis for follow-up with engineering leadership

Delivery Partners

Led by

neueda logo

Neueda

Nick Todd - Neueda Programme Director headshot

Nick Todd

Programme Director

FAQs

What people ask us

FAQs on this course
General FAQs

Who is this course designed for?

Engineering managers, technology leads and other leaders responsible for teams building with AI.

Do I need to be technical?

Some familiarity with software delivery is assumed, but the focus is on leadership and team practice, not hands-on coding.

Can we tailor the content to our engineering tools and workflows?

Yes. Case studies and examples can be adapted to your organisation's AI tools and delivery model.

What does the programme leave leaders with?

Each participant leaves with a concrete commitment to at least one change in how their team works with AI.

General FAQs

Who can join the Digital Skillnet Network?

Network membership is free for private sector and commercial semi-state companies based in the Republic of Ireland.

Once registered, eligible member companies can access Digital Skillnet part-funded programmes, helping reduce the cost of training and making upskilling more accessible across your organisation.

What are the aims of the Digital Skillnet Network?

The aim of the network is:

  • To support software and digital technology companies to remain at the cutting edge of skills and knowledge.   

  • To enable companies to gain access to staff training and development programmes which are aligned to  their current needs.

  • To work with educational bodies in strategic partnerships to develop new educational solutions to meet new software sector needs.

  • To provide funding support for staff training thereby lowering training costs for companies.

  • To extend up-skilling opportunities to more employees and companies across the sector.

How can a training provider join Digital Skillnet's roster?

As training requirements arise, the network invites suitable trainers to quote or tender for the delivery of each programme. 

Contact us for further information 

 


 

Where does Technology Ireland Digital Skillnet funding come from?

Technology Ireland DIGITAL Skillnet receives funding on an annual basis under the Training Networks Programme from Skillnet Ireland, the enterprise-led training agency. This allows the network to provide courses at a lower cost than commercial training courses – while still being delivered by the highest quality experts and trainers.

Over the last 3 years the Digital Skillnet has been awarded subsidies in excess of €2 million to support companies by significantly lowering the cost, and increasing the effectiveness of, organisational development strategies. The specific levels of subsidy for companies are allocated on a course-by-course basis.

What is Technology Ireland Digital Skillnet?

Established in 2010, Technology Ireland Digital Skillnet (“Digital Skillnet”) is the national training network for Ireland's Digital Technology sector. Our mission is to enable workforce development, performance and competitiveness for companies and their workforce through innovative upskilling solutions, backed by government funding. We support companies in all sectors to accelerate digital capacity, transformation and strategic innovation.

Member companies include a combination of indigenous organisations and multinational foreign direct investment (FDI) firms.

The Network Sponsor is Technology Ireland, a federation within Ibec, the Irish Business and Employers Confederation (www.ibec.ie). Our upskilling initiatives are co-funded by the Government of Ireland, the European Union through the European Social Fund ESF+ and Network Companies. 

How can Digital Skillnet help companies to fund their training needs?

Technology Ireland Digital Skillnet receives government funding. This allow us to provide support on course fees so that companies incur lower costs than commercial training courses. 

Through the network, we also use our combined buying power to achieve the best training rates from providers.

Subsidised fees for network members are shown on our training schedule. These are the costs after funding support from the network.
Typical savings of 40-60% for companies through DIGITAL Skillnet 

To access subsisidised course fees companies can join the network. Network membership is free and is open to all enterprises in the Republic of Ireland. 
 

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