Build the internal capability for AI in energy and smart grids rather than depending on external support indefinitely.
Artificial Intelligence Applications in Energy and Smart Grids
Develop the judgement and the documentation needed to run AI in energy and smart grids properly.
📍 Tripoli🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Most organisations now hold more data about AI in energy and smart grids than they can actually act on. The distance between a working prototype of smart grids and a system the business can depend on is where most budgets disappear. Participants gain a realistic view of what the digital and data-driven work discipline costs and what it returns. Improvement in AI in energy and smart grids stalls when it depends on one capable individual rather than a defined method. Discussion is anchored to worked examples of the wider digital and data-driven work agenda rather than to abstract argument. It is written for people who have to make smart grids work with the resources they already have. Mature organisations treat AI in energy and smart grids as a standing capability rather than a project that finishes. Content is organised around the decisions practitioners actually face in smart grids, not around theory headings. Participants leave with a first-ninety-days plan for the digital and data-driven work capability rather than a set of notes.
Expected Learning Outcomes
Handle the trade-offs in smart grids between speed, cost and assurance explicitly rather than implicitly.
Establish version control and rollback for every component of AI in energy and smart grids that reaches production.
Reduce avoidable variation in how smart grids is carried out across teams.
Set retention, lineage and deletion rules for the data flowing through AI in energy and smart grids.
Map the regulatory obligations that apply to smart grids in each market of operation.
Plan the migration path for AI in energy and smart grids without an extended outage or a parallel-running trap.
Who Should Attend
Chief information officers accountable for the investment in AI in energy and smart grids.
Data and analytics leads responsible for the pipelines behind smart grids.
Officers preparing reports on AI in energy and smart grids for boards or oversight committees.
Vendor and contract managers overseeing suppliers involved in smart grids.
Newly appointed managers taking on AI in energy and smart grids for the first time.
Technology and digital transformation managers leading smart grids.
Course Modules
AI in energy and smart grids: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1Escalation and decision rights in AI in energy and smart grids
- Estimate compute and licensing cost for AI in energy and smart grids at expected and at peak load.
- Verify that smart grids still performs when input volume doubles unexpectedly.
- Classify the data in AI in energy and smart grids and apply access controls that match the classification.
- Rehearse the briefing on smart grids that would follow an incident.
Session 2Making smart grids secure without making it unusable
- Set the metrics that will show whether AI in energy and smart grids is drifting from its intended behaviour.
- Plan how smart grids is versioned and how a bad release is rolled back.
- Plan the sequence in which improvements to AI in energy and smart grids will be introduced.
- Define acceptance criteria for smart grids in advance.
Smart grids: measuring benefit and retiring what it replaces
2 sessions · 8 pointsSession 1The pilot that actually settles the argument about smart grids
- List the data sources AI in energy and smart grids consumes and confirm each has a named owner.
- Establish who is informed, consulted and accountable in smart grids.
- Set the review interval for AI in energy and smart grids and who attends.
- Define the service level smart grids must meet and what happens when it is missed.
Session 2Reading the true cost of running smart grids
- Agree who is on call for AI in energy and smart grids outside working hours.
- Define the exit route from the supplier supporting smart grids.
- Prepare the summary of AI in energy and smart grids that senior management will read.
- Rank the weaknesses in smart grids by consequence rather than by ease of fixing.
Smart grids: from pilot to production
2 sessions · 8 pointsSession 1Where smart grids touches systems nobody wants to change
- Identify where judgement in AI in energy and smart grids is legitimate and where it is not.
- Set out the decisions in smart grids that require sign-off and by whom.
- Identify the skills the team lacks to operate AI in energy and smart grids independently.
- Record the reasoning behind each architectural choice in smart grids.
Session 2Reviewing AI in energy and smart grids when nothing has gone wrong
- Agree the indicators that will show whether AI in energy and smart grids is improving.
- Decide which legacy process smart grids retires, and set the date.
- Prepare the response for the most likely failure in AI in energy and smart grids.
- Identify every system smart grids must read from or write to.
Smart grids: people, skills and the change that follows
2 sessions · 8 pointsSession 1The cost of smart grids and how to present it
- Test the procedure for AI in energy and smart grids against a realistic scenario.
- Distinguish symptoms from causes when smart grids underperforms.
- Benchmark the organisation's AI in energy and smart grids against comparable operations.
- Record the rationale for each significant choice made about smart grids.
Session 2The data question everyone skips at the start of smart grids
- Test AI in energy and smart grids against edge cases drawn from real historical records.
- Estimate the resource smart grids requires to run as designed.
- Specify the fallback path when AI in energy and smart grids is unavailable.
- Design the pilot for smart grids so that a negative result is still useful.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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