This course covers Gemini models, capabilities across text, image, code, and data, prompt design basics, and practical business and enterprise use cases.
Overview
Google Gemini AI Fundamentals Training introduces participants to Google’s next-generation multimodal AI platform. This course covers Gemini models, capabilities across text, image, code, and data, prompt design basics, and practical business and enterprise use cases. Learners gain a strong foundation for using Gemini AI responsibly and effectively across Google’s ecosystem.
Learning Outcomes
• Understand the fundamentals and capabilities of Google Gemini
• Learn how to use Gemini AI for productivity, research, and content generation tasks
• Apply effective prompting techniques for generating accurate and contextual AI responses
• Utilize Gemini AI for text, image, and multimodal workflow scenarios
• Improve business productivity through AI-assisted automation and collaboration workflows
• Understand responsible AI usage, security, and data privacy best practices
Duration & Delivery Mode
14 hours
Target Audience
• Business professionals and decision-makers
• IT and digital transformation teams
• Data analysts and AI enthusiasts
• Product managers and innovation teams
• Educators and consultants
Pre-requisites
• Basic understanding of AI and generative AI concepts
• Familiarity with Google Workspace or Google Cloud is helpful
• No coding experience required
Skillset Achieved
• Understanding Gemini AI models and capabilities
• Using Gemini for text, image, and multimodal tasks
• Designing effective prompts for Gemini AI
• Applying Gemini AI to business and productivity use cases
• Ensuring responsible and ethical AI usage
Course Outcome
After completing this training, participants will be able to confidently use Google Gemini AI for productivity, research, and business applications while applying responsible AI practices.
Course Outline
Introduction to Google Gemini AI
• Evolution of Google AI and Gemini models
• Gemini vs traditional LLMs
• Core features and multimodal capabilities
Gemini AI Use Cases
• Content generation and summarization
• Research and knowledge discovery
• Image understanding and reasoning
Prompting Fundamentals for Gemini
• Prompt structure and best practices
• Zero-shot and few-shot prompting
• Improving accuracy and relevance
Gemini AI in Business and Productivity
• Gemini with Google Workspace
• Automating everyday tasks
• Decision support and insights
Multimodal AI with Gemini
• Working with text, images, and documents
• Cross-modal reasoning use cases
• Practical demonstrations
Responsible AI and Governance
• Safety, privacy, and compliance
• Bias and ethical considerations
• Best practices for enterprise adoption
Assessment Topics
• Fundamentals and features of Google Gemini
• Prompt engineering and AI interaction techniques
• Multimodal AI workflows and content generation use cases
• Productivity and automation scenarios using Gemini AI
• Responsible AI, security, and data privacy considerations
• Practical hands-on Gemini AI exercises
Evaluation
• Prompt design exercises
• Use-case based activities
• Knowledge assessment
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Participants will receive an AcadNXT Certification in Gemini AI Essentials Training, recognizing their foundational understanding of Gemini AI and its real-world applications.
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What Our Students Say
“A great introduction to Gemini and Google’s AI ecosystem.”
“Clear explanations and very practical use cases.”
“Perfect starting point for teams exploring Gemini AI.”
“The multimodal examples were especially valuable.”
“Well-structured and highly relevant for business users.”