Artificial Intelligence-Assisted Coding and Accelerated Software Delivery

A concise, decision-focused programme covering AI-assisted coding end to end.

📍 Cairo🗓️ 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-assisted coding than they can actually act on. The distance between a working prototype of this aspect of digital and data-driven work and a system the business can depend on is where most budgets disappear. Post-incident reviews keep identifying weaknesses in the digital and data-driven work discipline that were visible long before the incident. Content is organised around the decisions practitioners actually face in AI-assisted coding, not around theory headings. Ambition around this aspect of digital and data-driven work outruns capacity unless the sequencing is deliberate. Cases are chosen to expose the trade-offs in this part of digital and data-driven work rather than to illustrate ideal conditions. The course leaves participants able to diagnose weaknesses in AI-assisted coding before they become incidents. It is designed for mixed groups, so that this aspect of digital and data-driven work is examined from more than one functional angle. The programme closes with an action plan for the wider digital and data-driven work agenda that each participant writes for their own organisation.

Expected Learning Outcomes

01

Translate policy on AI-assisted coding into procedures that hold up under day-to-day pressure.

02

Define success criteria for AI-assisted coding in business terms before any technology is selected.

03

Prepare the human side of AI-assisted coding: who is retrained, who is redeployed, and when they are told.

04

Adapt recognised practice on AI-assisted coding to local constraints without hollowing it out.

05

Assess whether AI-assisted coding should be built in-house, bought, or delivered through a partner.

06

Quantify the running cost of AI-assisted coding — compute, licensing, and the people who keep it alive.

07

Draw practical lessons from failures in AI-assisted coding without assigning blame that suppresses reporting.

Who Should Attend

01

Operations managers whose processes are changed by AI-assisted coding.

02

Information security officers reviewing the exposure created by AI-assisted coding.

03

Members of committees that take decisions affecting AI-assisted coding.

04

Vendor and contract managers overseeing suppliers involved in AI-assisted coding.

05

Public sector digital leads applying AI-assisted coding under procurement and privacy rules.

06

Newly appointed managers taking on AI-assisted coding for the first time.

Course Modules

01

AI-assisted coding: governance, ethics and explainability

2 sessions · 8 points

Session 1Who owns AI-assisted coding once the project team disbands

  • Specify the fallback path when AI-assisted coding is unavailable.
  • Set out how exceptions to AI-assisted coding are requested and approved.
  • Build the user briefing that explains what AI-assisted coding does and does not decide.
  • Prepare the response for the most likely failure in AI-assisted coding.

Session 2The pilot that actually settles the argument about AI-assisted coding

  • Decide which legacy process AI-assisted coding retires, and set the date.
  • Establish who is informed, consulted and accountable in AI-assisted coding.
  • Confirm the retention and deletion rules applied to data inside AI-assisted coding.
  • Assess the regulatory obligations AI-assisted coding triggers in each jurisdiction.
02

AI-assisted coding: architecture, integration and the existing estate

2 sessions · 8 points

Session 1Where AI-assisted coding typically breaks, and why

  • Design the pilot for AI-assisted coding so that a negative result is still useful.
  • Classify the data in AI-assisted coding and apply access controls that match the classification.
  • Name a single owner for each element of AI-assisted coding.
  • Establish what evidence demonstrates AI-assisted coding is under control.

Session 2Reviewing AI-assisted coding when nothing has gone wrong

  • Define the service level AI-assisted coding must meet and what happens when it is missed.
  • Identify the skills the team lacks to operate AI-assisted coding independently.
  • Estimate compute and licensing cost for AI-assisted coding at expected and at peak load.
  • Close out actions on AI-assisted coding rather than leaving them open indefinitely.
03

AI-assisted coding: business case, scope and the data it depends on

2 sessions · 8 points

Session 1Proving AI-assisted coding paid for itself

  • Record the reasoning behind each architectural choice in AI-assisted coding.
  • Test the procedure for AI-assisted coding against a realistic scenario.
  • Rank the weaknesses in AI-assisted coding by consequence rather than by ease of fixing.
  • Define the trigger that would require AI-assisted coding to be redesigned.

Session 2The data question everyone skips at the start of AI-assisted coding

  • Agree what will be standardised in AI-assisted coding and what will not.
  • Set out the decisions in AI-assisted coding that require sign-off and by whom.
  • Assign responsibility for keeping documentation of AI-assisted coding current.
  • Prepare the summary of AI-assisted coding that senior management will read.
04

AI-assisted coding: monitoring, drift and operational ownership

2 sessions · 8 points

Session 1Sizing AI-assisted coding honestly before committing budget

  • List the data sources AI-assisted coding consumes and confirm each has a named owner.
  • Define the exit route from the supplier supporting AI-assisted coding.
  • Set the review interval for AI-assisted coding and who attends.
  • Identify every system AI-assisted coding must read from or write to.

Session 2What has to be agreed before work on AI-assisted coding starts

  • Verify that AI-assisted coding still performs when input volume doubles unexpectedly.
  • Agree who is on call for AI-assisted coding outside working hours.
  • Check that records of AI-assisted coding answer the questions likely to be asked.
  • Agree the indicators that will show whether AI-assisted coding is improving.

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.