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Information & Communication Technology

AI Developer for ICT Systems Professional Certificate Programme

Designing, Developing and Deploying Intelligent Applications for Modern Digital Enterprises

Overview

About this course

Artificial Intelligence is transforming the way organisations develop software, manage information systems, automate processes, and deliver digital services. As AI technologies become increasingly integrated into enterprise systems, there is growing demand for ICT professionals who possess the skills required to design, develop, integrate, and manage AI-powered applications and intelligent digital solutions.

The Seya Capital AI Developer for ICT Systems Professional Certificate Programme equips participants with the practical knowledge, development methodologies, and technical skills required to build AI-enabled applications and integrate Artificial Intelligence capabilities into ICT systems. The programme covers AI fundamentals, machine learning concepts, generative AI, prompt engineering, intelligent application development, AI integration frameworks, data management, automation, application security, and deployment strategies.

Participants will gain hands-on experience developing intelligent solutions capable of enhancing business processes, improving decision-making, automating workflows, and supporting digital transformation initiatives.

2027 schedule

Dates, venues & fees

DatesVenueFormatFee
15 – 19 Feb 2027Dar es Salaam, Tanzania5 daysUS$ 2,100Register
22 Feb – 5 Mar 2027Dallas, Texas, USA2 weeksUS$ 6,660Register
1 – 5 Mar 2027Dallas, Texas, USA5 daysUS$ 3,700Register

Fees are per delegate and exclude travel and accommodation. Every course is also available as in-house training on dates that suit you.

Highlights

What you will learn

  • Artificial Intelligence and Machine Learning fundamentals
  • AI application development methodologies
  • Generative AI and Large Language Models (LLMs)
  • Prompt engineering techniques
  • Intelligent application design and development
  • AI integration into enterprise ICT systems
  • Data preparation and model implementation concepts
  • AI-powered automation and workflow development
  • AI APIs and system integration
  • Ethical and responsible AI development
  • AI security, governance and compliance considerations
  • AI deployment, monitoring and optimisation
  • Participants will explore practical applications including:
  • AI Chatbot Development
  • Prompt Engineering and AI Optimisation
  • Intelligent Knowledge Management Systems
  • AI-Powered Document Processing
  • Enterprise AI Integration
  • Workflow Automation Solutions
  • AI Content Generation Tools
  • Intelligent Customer Support Systems
  • AI-Assisted Decision Support Applications
  • System Integration using AI APIs
  • AI Security Risk Assessment
  • Intelligent Business Process Innovation
  • Generative AI Application Development
  • AI assistant development
  • Prompt engineering techniques
  • Content generation systems
  • Conversational AI applications
  • Enterprise AI Systems Integration
  • AI service integration
  • Enterprise application enhancement
  • Intelligent workflow automation
  • Digital transformation solutions
  • AI Governance and Security
  • Responsible AI implementation
  • AI risk management
  • Privacy and compliance requirements
  • Secure AI deployment
  • Intelligent Automation and Innovation
  • Process automation frameworks
  • AI-powered productivity solutions
  • Innovation management
  • Future AI technology adoption
Objectives

By the end of the course

By the end of this programme, participants will be able to:

  • Understand Artificial Intelligence concepts and development principles.
  • Design AI-powered applications and intelligent digital solutions.
  • Apply machine learning concepts in ICT environments.
  • Develop applications using generative AI technologies.
  • Integrate AI services into enterprise systems and business applications.
  • Implement prompt engineering techniques to optimise AI outputs.
  • Apply responsible and ethical AI development practices.
  • Develop automated workflows using AI tools and platforms.
  • Deploy and maintain AI-enabled applications.
  • Support organisational digital transformation through intelligent systems.
Who should attend

Designed for

  • Software Developers
  • Application Developers
  • Systems Developers
  • ICT Professionals
  • Digital Transformation Specialists
  • Systems Analysts
  • Database Developers
  • Business Application Developers
  • Enterprise Architects
  • Technology Consultants
  • Innovation and Automation Specialists
  • Computer Science and ICT Graduates
  • Entrepreneurs developing AI-enabled solutions
  • Professionals interested in AI application development
Programme

Course outline

Day 1: Foundations of Artificial Intelligence Development+
  • Introduction to Artificial Intelligence
  • The Evolution of AI Technologies
  • Types of Artificial Intelligence
  • AI Development Ecosystems
  • Machine Learning Fundamentals
  • AI Development Lifecycle
  • AI Opportunities in ICT Systems
Day 2: Generative AI, Prompt Engineering and Intelligent Systems Design+
  • Introduction to Generative AI
  • Large Language Models and AI Assistants
  • Prompt Engineering Fundamentals
  • Designing Effective AI Prompts
  • AI-Assisted Software Development
  • Intelligent User Experience Design
  • Building AI-Powered Applications
Day 3: Developing AI Applications and System Integration+
  • AI Application Architecture
  • AI APIs and Services Integration
  • Data Preparation and Processing Concepts
  • AI Models and Development Platforms
  • Intelligent Workflow Development
  • Enterprise Systems Integration
  • AI-Powered Business Applications
Day 4: Responsible AI, Security and Governance+
  • Ethical AI Development Principles
  • Responsible AI Frameworks
  • AI Bias and Fairness Considerations
  • Security in AI Systems
  • Privacy and Data Protection Requirements
  • AI Governance and Compliance
  • Risk Management for AI Applications
Day 5: Deployment, Optimisation and Capstone Project+
  • AI Application Deployment Strategies
  • Monitoring AI Application Performance
  • AI Model Optimisation Concepts
  • Intelligent Automation and Workflow Scaling
  • Emerging Trends in AI Development
  • Future of AI-Driven ICT Systems
  • Capstone AI Application Development Project
Methodology

How you will learn

This highly interactive programme combines:

  • Expert-led presentations
  • AI application development workshops
  • Hands-on coding laboratories
  • Prompt engineering practical sessions
  • AI integration demonstrations
  • Intelligent automation exercises
  • Real-world AI solution design workshops
  • Case study analysis and discussions
  • Collaborative group learning
  • Capstone AI application development project
  • Participants will gain practical experience in developing AI-enabled applications and deploying intelligent business solutions.
Impact

The return on learning

For your organisation

  • Build internal AI development capabilities
  • Accelerate digital transformation initiatives
  • Improve operational efficiency through automation
  • Enhance organisational innovation capacity
  • Support intelligent decision-making processes
  • Improve customer and citizen service delivery
  • Reduce manual and repetitive processes
  • Strengthen technology competitiveness
  • Improve integration of intelligent solutions across enterprise systems
  • Establish responsible AI implementation practices

For you

  • Develop professional AI development competencies
  • Strengthen application design and programming skills
  • Gain expertise in emerging AI technologies
  • Improve automation and systems integration capabilities
  • Enhance analytical and problem-solving skills
  • Strengthen career opportunities in AI and software development
  • Build expertise in intelligent systems development
  • Become future-ready technology professionals
Certification

Seya Capital certificate

Delegates who complete the programme receive a Seya Capital Certificate of Completion.

In-house training

Training designed around your organisation

Every course can be delivered privately for your institution, at your premises or a venue of your choice, with case studies and content adapted to your sector and regulatory environment.

Plan in-house training →Contact our team