Unlock the potential of AI with this course designed to teach you how to craft effective prompts, navigate ethical challenges, and harness powerful AI tools to enhance your productivity.
This course provides a foundational understanding of AI and ML, emphasizing the rise of generative AI and its workplace integration. Participants will learn to craft effective prompts, apply advanced techniques, and ensure ethical AI use by mitigating bias and preventing misinformation. The course explores modern AI tools to enhance efficiency and productivity and addresses ethical challenges like privacy and data biases. Learners will develop an understanding to stay updated with AI advancements, equipping them to leverage AI responsibly and effectively in various professional settings.
Details of the module
Discover how AI works and explore foundational AI concepts, such as machine learning (ML). Learn about the rise of generative AI and how to perform tasks with it. By the end of this module, you’ll have an understanding of the capabilities and limitations of AI tools and how to integrate generative AI in the workplace.
Topic List
Details of the module
This course explores the essential techniques for crafting effective prompts to optimize AI model outputs, with a focus on accuracy, fairness, and ethical considerations. Participants will learn to create clear and specific prompts for various use cases, refine AI outputs through iterative prompting, and apply advanced techniques such as Chain-of-Thought, Few-Shot, and Constraint-based prompting. The course also covers strategies to mitigate bias, prevent misinformation, and ensure fair and responsible use of AI systems.
Topic List
Details of the module
This course offers an in-depth exploration of modern AI tools and their transformative impact on workplace efficiency and productivity. Learners will gain insights into the latest AI-driven applications that assist with automating tasks, generating content, enhancing decision-making, and streamlining workflows. Through practical examples and hands-on learning, participants will discover how to leverage AI tools to optimize processes across various professional environments, equipping them with the skills to integrate these innovations into their daily work and drive organizational success.
Topic List
Details of the module
This course explores the ethical challenges and potential harms associated with AI. Participants will learn to identify risks such as privacy breaches, security concerns, and data biases that can emerge in modern AI models. The course covers best practices for mitigating these issues, with an emphasis on fairness, transparency, and responsible AI development, guided by Google's AI principles. Learners will gain a comprehensive understanding of how to approach AI risks and ensure ethical implementation in real-world applications.
Topic List
Details of the module
Continue developing your skills within the current and emerging AI landscape. Learn about the ways organizations have leveraged AI and consider how these innovations may inspire your own AI-powered workplace solutions. By the end of this module, you will develop a strategy to stay up-to-date with future AI developments.
Topic List
1. Introduction to Generative AI
2. Introduction to Large Language Models
1. Introduction to Responsible AI
2. Responsible AI: Applying AI Principles with Google Cloud
3. Additional by AVPN
1. Introduction to Gemini for Google Workspace
2. Gemini in Gmail
3. Gemini in Google Docs
4. Gemini in Google Slides
5. Gemini in Google Sheets
6. Gemini in Google Meet
7. Gemini in Gogole Drive
Additional by AVPN
Understanding AI Fundamentals : Develop a comprehensive understanding of AI and machine learning concepts by exploring how generative AI functions and its applications in real-world scenarios.
Effective Prompt Crafting : Develop skills to create and refine prompts for optimizing AI outputs using advanced techniques like Chain-of-Thought, Few-Shot, and Constraint-based prompting.
Ethical AI Use : Implement strategies to ensure ethical AI usage by actively mitigating bias, preventing misinformation, and adhering to principles of fairness and transparency in AI systems.
AI Tools Proficiency : Acquire practical knowledge of modern AI tools to automate tasks, enhance decision-making, and improve workplace efficiency.
Risk Management : Identify and address ethical challenges and risks in AI, such as privacy breaches, security concerns, and data biases, by applying best practices to ensure responsible AI implementation.
Continuous Learning : Continuously update your knowledge on emerging AI technologies and trends, and apply these insights to develop and implement innovative, AI-driven solutions in the workplace.
To assess prior knowledge and skills relevant to the course.
Learners to complete the self-learning of Video and Reading materials to gain insights on the training content.
To handhold the learners to clear their doubts and help them to get more insights by conducting the sessions following the FGs.
To check learners knowledge on the topics.
To enhance personal learning, collaboration and problem-solving skills while applying course concepts.
Learners to apply acquired knowledge and skills for practical use. Contextualise and design customized content and activities based on local training needs.
To evaluate the knowledge and skill gained by learners at the conclusion of the course.
Learners to complete the self-learning of Video and Reading materials to gain insights on the training content.
To check learners knowledge on the topics.
Learners to apply acquired knowledge and skills for practical use. Contextualise and design customized content and activities based on local training needs.