Emerging Technologies, Artificial Intelligence and Business Innovation Course
The Emerging Technologies, Artificial Intelligence and Business Innovation Course is a 5-day professional training programme delivered in-person or online in ICT-Information & Communication Technology, ending with a TrustGate Corporate Skills certificate of completion.
The Emerging Technologies, Artificial Intelligence and Business Innovation programme is designed to equip executives, managers, ICT professionals and innovation leaders with the knowledge required to evaluate and apply emerging technologies in ways that improve organisational...
Course Overview
Learning Objectives
- Explain the capabilities, limitations and business implications of major emerging technologies.
- Identify practical applications of AI and other technologies in organisational operations.
- Distinguish between generative AI, predictive analytics, machine learning and intelligent automation.
- Evaluate technology opportunities according to business needs, readiness and strategic value.
- Develop business cases for emerging technology adoption and innovation projects.
- Apply generative AI tools to suitable professional and organisational tasks.
- Identify ethical, legal, privacy, security and operational risks associated with emerging technologies.
- Establish appropriate human oversight and governance for AI-enabled decisions.
- Develop implementation roadmaps, adoption measures and technology performance indicators.
- Prepare a responsible technology innovation proposal aligned with organisational priorities.
Course Content
- Overview of emerging and disruptive technologies.
- Technology trends and their implications for organisational strategy.
- Assessing technology maturity, feasibility and business relevance.
- Identifying opportunities and risks associated with technological change.
- Fundamentals of AI, machine learning and intelligent systems.
- Supervised, unsupervised and other common machine learning approaches.
- Applications in forecasting, classification, optimisation and decision support.
- AI limitations, model performance and the importance of data quality.
- Principles and practical applications of generative AI.
- Prompt design and AI-assisted research, drafting and summarization.
- Applying AI to reporting, knowledge management and professional productivity.
- Verification of AI-generated outputs, confidentiality and human oversight.
- Identifying repetitive and rules-based processes suitable for automation.
- Robotic process automation and AI-enabled workflows.
- Integrating AI tools with existing business applications.
- Measuring productivity improvements, error reduction and service quality.
- Using organisational data to identify patterns and opportunities.
- Predictive analytics for planning, forecasting and resource allocation.
- Decision dashboards and data visualisation for management.
- Data governance, data quality and responsible analytical practices.
- Cloud platforms as enablers of innovation and scalable digital services.
- Internet of Things applications in operations, infrastructure and service delivery.
- Connected systems, real-time data and intelligent monitoring.
- Infrastructure requirements, interoperability, security and implementation costs.
- Distributed ledger technology and blockchain fundamentals.
- Smart contracts and potential applications in transactions and recordkeeping.
- Exploring extended reality, digital twins and other emerging capabilities.
- Evaluating technology suitability, adoption barriers and business value.
- Ethical principles for AI and automated decision-making.
- Privacy, confidentiality, intellectual property and data protection.
- Bias, explainability, accountability and human oversight.
- Cybersecurity, regulatory considerations and organisational AI policies.
- Identifying and prioritizing emerging technology use cases.
- Conducting feasibility studies and preparing investment business cases.
- Evaluating costs, benefits, risks and implementation dependencies.
- Managing pilots, staff adoption, scalability and benefits realization.
- Selecting an organisational problem suitable for a technology-based solution.
- Designing a use case and defining expected operational or commercial benefits.
- Preparing an implementation roadmap, risk assessment and governance plan.
- Presenting a technology innovation proposal with measurable success indicators.
Who Should Attend?
- Chief executives, directors and senior management teams.
- ICT managers, digital transformation officers and technology consultants.
- Innovation, research and development managers.
- Business analysts, operations managers and project leaders.
- Finance, human resource, marketing and customer service professionals.
- Government officials and public-sector service delivery leaders.
- University, TVET and research institution managers.
- Entrepreneurs and business development professionals
Training Methodology
- Facilitator-led presentations and discussions.
- Enterprise architecture case studies.
- Business capability mapping exercises.
- Current-state architecture assessment.
- Target architecture design workshops.
- Technology evaluation and scenario analysis.
- Group discussions and peer learning.
- Architecture roadmap development exercises
Is this course for you?
Level: Executive
Problems this course solves
- Misalignment between business strategy and technology architecture.
- Duplication of applications, systems, and technology investments.
- Poor integration and interoperability across enterprise systems.
- Lack of structured roadmaps for system modernization and cloud adoption.
What's Included
Certification
Certificate in Emerging Technologies, Artificial Intelligence and Business Innovation
Issued by: TRUSTGATE CORPORATE SKILLS
Frequently Asked Questions
How long is the Emerging Technologies, Artificial Intelligence and Business Innovation Course training?
The Emerging Technologies, Artificial Intelligence and Business Innovation Course runs for 5 Days. Each day combines expert-led teaching with practical, hands-on exercises so participants can apply what they learn immediately.
Is the Emerging Technologies, Artificial Intelligence and Business Innovation Course delivered online or in-person?
This course is delivered in person (scheduled venues include Nairobi, Kigali, Mombasa, Dubai), live online, or in-house at your organisation.
How much does the Emerging Technologies, Artificial Intelligence and Business Innovation Course cost?
The fee is US$600 per person online and US$1,400 per person in person. In-person fees depend on the participant's country; the pricing card on this page shows the fee for yours.
When is the next Emerging Technologies, Artificial Intelligence and Business Innovation Course training?
The next scheduled session runs from 9 November 2026 to 13 November 2026 in Nairobi, Kenya. You can also request a custom date or an in-house session for your team.
Do I get a certificate after completing the Emerging Technologies, Artificial Intelligence and Business Innovation Course?
Yes. Participants who complete the Emerging Technologies, Artificial Intelligence and Business Innovation Course receive a certificate of completion from TRUSTGATE CORPORATE SKILLS.
What will I learn in the Emerging Technologies, Artificial Intelligence and Business Innovation Course?
Key learning outcomes include: Explain the capabilities, limitations and business implications of major emerging technologies; Identify practical applications of AI and other technologies in organisational operations; Distinguish between generative AI, predictive analytics, machine learning and intelligent automation; Evaluate technology opportunities according to business needs, readiness and strategic value; Develop business cases for emerging technology adoption and innovation projects.
