Introduction
Google Gemini represents a revolutionary leap in AI technology, providing developers with powerful tools and frameworks to build AI-first applications. This course is designed to give developers a comprehensive understanding of Google Gemini’s capabilities and how to leverage them to create advanced, intelligent applications.
Duration
5 Days
Target Audience
- Software Developers
- AI and Machine Learning Engineers
- Data Scientists
- Application Developers
- Product Managers
- Technical Leads
- Innovation Specialists
Personal Impact
- Acquire practical skills in using cutting-edge AI technology from Google.
- Enhance your ability to develop and integrate AI functionalities into applications.
- Boost your expertise in building innovative AI-driven solutions.
- Increase your competitiveness and marketability in the tech industry.
- Gain confidence in using advanced AI tools to tackle complex challenges.
Organizational Impact
- Enable the development of advanced, AI-powered applications within your organization.
- Improve the efficiency and effectiveness of software development processes.
- Position your organization as a leader in AI technology and innovation.
- Enhance product offerings with sophisticated AI capabilities.
- Drive innovation and strategic growth through AI-first solutions.
Course Level:
Course Objectives
- Understand the core features and capabilities of Google Gemini.
- Develop AI-powered applications using Google Gemini tools and APIs.
- Implement best practices for integrating AI into software projects.
- Apply advanced AI techniques to solve real-world problems.
- Address challenges and leverage opportunities in AI application development.
Modules
Module 1: Introduction to Google Gemini
- Overview of Google Gemini and its AI Capabilities
- Key Features and Components of Google Gemini
- Benefits of Leveraging Google Gemini for AI Applications
- Case Study: Successful implementation of Google Gemini in a leading tech company
- Hands-On Exercise: Navigate Google Gemini’s interface and explore its basic functionalities
Module 2: Developing AI-Powered Applications with Google Gemini
- Setting Up Your Development Environment with Google Gemini
- Integrating Google Gemini APIs and Models into Applications
- Building AI-Enhanced Features and Functionalities
- Case Study: Development of an AI-powered feature using Google Gemini
- Practical: Create a simple AI-driven application using Google Gemini
Module 3: Advanced AI Techniques and Customization
- Utilizing Google Gemini for Advanced Machine Learning and Data Analysis
- Implementing Complex AI Algorithms and Custom Models
- Fine-Tuning and Optimizing AI Models for Specific Use Cases
- Hands-On Exercise: Apply advanced AI techniques to a development project
- Case Study: High-impact AI application developed with Google Gemini
Module 4: Best Practices and Optimization Strategies
- Best Practices for Building Scalable and Efficient AI Applications
- Techniques for Optimizing AI Models and Improving Performance
- Debugging and Troubleshooting Common Issues in AI Development
- Practical: Optimize and troubleshoot an AI-powered application
- Case Study: Optimization strategies and performance improvements in real-world applications
Module 5: Ethical Considerations and Future Trends in AI
- Addressing Ethical and Privacy Concerns in AI Development
- Exploring Future Trends and Innovations with Google Gemini
- Ensuring Responsible AI Use and Compliance
- Hands-On Exercise: Develop an ethical implementation plan for AI
- Case Study: Ethical dilemmas and solutions in AI application development
Related Courses
Course Administration Details:
Methodology
These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation and Airport Transfer
Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
Payment
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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