About this programme

Google Gemini is revolutionizing the way developers design, build, and deploy AI-first applications. This course equips developers, software engineers, and technology leaders with the skills to leverage Google Gemini’s AI capabilities to create intelligent, scalable, and responsive applications. Participants will explore the integration of advanced AI models into real-world solutions, ensuring optimal performance, user engagement, and business impact.

Duration

5 Days

Who Should Attend

Software developers and engineers
AI and ML practitioners
Solution architects and technology leads
IT managers and product owners involved in AI initiatives
Technology enthusiasts interested in AI-first application development

Learning outcomes

What you'll walk away with

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

Understand the architecture and capabilities of Google Gemini AI models.
Integrate AI functionalities into applications for real-world problem-solving.
Design scalable and secure AI-first application architectures.
Optimize AI applications for performance, accuracy, and user experience.
Apply best practices for responsible AI development and deployment.

Course modules

What we cover, module by module

Module 1: Introduction to Google Gemini

Overview of Google Gemini architecture and capabilities
Understanding AI-first applications and their business impact
Case Study: Transforming a traditional app into an AI-first solution

Module 2: AI Model Integration

Connecting Gemini models with application backends
Handling inputs, outputs, and AI workflows
Case Study: Implementing predictive analytics in a business application

Module 3: Application Design and Architecture

Designing scalable, secure, and maintainable AI applications
Microservices and API integration strategies
Case Study: Building a multi-module AI application for enterprise use

Module 4: Optimization and Performance

Fine-tuning models for speed, accuracy, and resource efficiency
Monitoring, logging, and debugging AI-powered applications
Case Study: Optimizing an AI recommendation engine for millions of users

Module 5: Responsible AI and Deployment

Ethical AI development practices and bias mitigation
Deployment strategies on cloud and hybrid environments
Case Study: Launching an AI-first application with compliance and security considerations

Impact

Where the change lands

Organizational Impact:

Faster deployment of AI-enabled solutions
Enhanced operational efficiency and decision-making
Improved innovation and competitive advantage
Stronger alignment between technology and business goals

Individual Impact:

Advanced skills in AI-first application development
Ability to integrate AI into enterprise solutions
Increased confidence in handling complex AI workflows
Professional growth as an AI-enabled developer

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar

City	Starts	Ends	Delivery	Book
NakuruNext	20 Jul 2026	24 Jul 2026	In-Person	Book
Kigali	20 Jul 2026	24 Jul 2026	In-Person	Book
Accra	20 Jul 2026	24 Jul 2026	In-Person	Book
Kisumu	27 Jul 2026	31 Jul 2026	In-Person	Book
Johannesburg	27 Jul 2026	31 Jul 2026	In-Person	Book
Dakar	27 Jul 2026	31 Jul 2026	In-Person	Book