Artificial Intelligence Image and Video Generation and Its Creative Applications

A concise, decision-focused programme covering AI image and video generation end to end.

📍 Cairo🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points

Course Overview

The distance between a working prototype of AI image and video generation and a system the business can depend on is where most budgets disappear. Technology choices around video generation are easy to reverse on paper and expensive to reverse in practice. Applied research in digital and data-driven work consistently shows that early structure around this strand of digital and data-driven work reduces downstream rework. Work is grounded in real cases drawn from AI image and video generation, which each participant adapts to conditions in their own organisation. A common pattern is strong design of this part of digital and data-driven work paired with weak follow-through. It establishes a shared vocabulary for video generation so that teams can disagree productively about it. Participants gain a clear basis for measuring what AI image and video generation has actually achieved. The programme suits teams tackling video generation together as readily as individuals attending alone. Participants leave with a plan for the wider digital and data-driven work agenda sized to what their organisation can realistically absorb.

Expected Learning Outcomes

01

Design a training and briefing approach that sustains competence in AI image and video generation.

02

Set the minimum documentation for video generation that is genuinely necessary, and stop there.

03

Define success criteria for AI image and video generation in business terms before any technology is selected.

04

Agree the retirement plan for the legacy process video generation replaces.

05

Specify the data AI image and video generation depends on, where it originates and who is accountable for its quality.

06

Structure records of video generation so that they answer the questions an auditor will actually ask.

07

Plan the migration path for AI image and video generation without an extended outage or a parallel-running trap.

Who Should Attend

01

Technology and digital transformation managers leading AI image and video generation.

02

Programme managers coordinating delivery of video generation across teams.

03

Product owners prioritising the roadmap for AI image and video generation.

04

Information security officers reviewing the exposure created by video generation.

05

Newly appointed managers taking on AI image and video generation for the first time.

06

Coordinators responsible for keeping records and documentation of video generation current.

Course Modules

01

AI image and video generation: governance, ethics and explainability

2 sessions · 8 points

Session 1The pilot that actually settles the argument about AI image and video generation

  • Prepare the response for the most likely failure in AI image and video generation.
  • Agree the indicators that will show whether video generation is improving.
  • Compare the cost of AI image and video generation with the cost of its absence.
  • Collect evidence on the present handling of video generation before proposing changes.

Session 2Making video generation secure without making it unusable

  • Specify the fallback path when AI image and video generation is unavailable.
  • Identify where judgement in video generation is legitimate and where it is not.
  • Test the procedure for AI image and video generation against a realistic scenario.
  • Measure the current quality of the data feeding video generation before assuming it is usable.
02

Video generation: architecture, integration and the existing estate

2 sessions · 8 points

Session 1What has to be agreed before work on video generation starts

  • Build the user briefing that explains what AI image and video generation does and does not decide.
  • Set out the decisions in video generation that require sign-off and by whom.
  • Set the metrics that will show whether AI image and video generation is drifting from its intended behaviour.
  • Reduce the variation in how video generation is carried out between teams.

Session 2Sizing video generation honestly before committing budget

  • Decide which legacy process AI image and video generation retires, and set the date.
  • Check that records of video generation answer the questions likely to be asked.
  • Agree who is on call for AI image and video generation outside working hours.
  • Prepare the summary of video generation that senior management will read.
03

Video generation: cost, licensing and total running expense

2 sessions · 8 points

Session 1Reading the current state of video generation honestly

  • Design the pilot for AI image and video generation so that a negative result is still useful.
  • Review whether video generation is aligned with the objectives of the transformation programme.
  • Classify the data in AI image and video generation and apply access controls that match the classification.
  • Confirm the retention and deletion rules applied to data inside video generation.

Session 2Building lasting competence in AI image and video generation

  • Arrange the handover of AI image and video generation so capability survives staff changes.
  • Establish what evidence demonstrates video generation is under control.
  • List the data sources AI image and video generation consumes and confirm each has a named owner.
  • Identify every system video generation must read from or write to.
04

Video generation: people, skills and the change that follows

2 sessions · 8 points

Session 1Where video generation touches systems nobody wants to change

  • Record the reasoning behind each architectural choice in AI image and video generation.
  • Agree the smallest change to video generation that would be visibly useful.
  • Estimate compute and licensing cost for AI image and video generation at expected and at peak load.
  • Test video generation against edge cases drawn from real historical records.

Session 2Who owns video generation once the project team disbands

  • Assign responsibility for keeping documentation of AI image and video generation current.
  • Define the service level video generation must meet and what happens when it is missed.
  • Define the exit route from the supplier supporting AI image and video generation.
  • Plan the sequence in which improvements to video generation will be introduced.

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

We will contact you within one business day to confirm.