AI for Workforce Introduction to AI Facilitator Guide PDF

AI for Workforce Introduction to AI Facilitator Guide Week 2: AI and Technology Total Session Duration: 240 MINUTES The Intel® Digital Readiness Programs and Intel® AI for Workforc...

AI for Workforce Introduction to AI Facilitator Guide Week 2: AI and Technology Total Session Duration: 240 MINUTES The Intel® Digital Readiness Programs and Intel® AI for Workforce program are developed by Intel Corporation. ©Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others. All rights reserved. Program dates and lesson plans are subject to change. Intel technologies may require enabled hardware, software, or service activation. No product or component can be absolutely secure. Results have been estimated or simulated. Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy. Your costs and results may vary. Facilitator Guide Lesson Title: Week 2 –AI and Technology Approach: Instructor-led Interactive Session Summary: In this session, students will explore the history of data collection and its relationship with AI. They will learn about the evolution of data collection methods and their use in powering AI applications. The session will also examine the limitations of AI, including its tendency towards bias and errors, and the ethical considerations involved in deploying AI systems along with synthetic data generation using Generative AI. Finally, students will explore the latest trends in AI and emerging technologies. They will learn about the impact of 5G networks, which are enabling faster and more reliable communication, and how this is fueling the growth of the Internet of Things (IoT). Learning Outcomes: 1. Students will be able to describe the historical context of data collection and its relationship with AI, including key milestones and breakthroughs. 2. Students will be able to identify the current limitations of AI, such as ethical concerns, bias, and interpretability. 3. Students will be able to evaluate how autonomous vehicles, 5G, big data, and IoT are transforming the AI industry, and provide specific examples of their impact on various domains. Pre-requisites: 1. Nil Key-concepts: 1. Knowledge of Artificial Intelligence and Emerging Technologies Programs/Applications Used: 1. MS Power point 2. MS Word 1. Program Overview Topic No Time Description Objective /Activity  Recap of week-1 and Recap of the previous week's topics 15 1 Introduction Introduction of AI and and discussion. Introduction to the mins and Recap technology topics to be covered in Week 2 Why is data collection important for AI? Students will be introduced to the Limitations of AI due to lack of importance of data collection for AI, usable data as it directly affects the accuracy and Discussion of factors affecting efficiency of machine learning 35 2 Fuel for AI? the growth of AI algorithms. The limitations of AI due mins Generative AI: Synthetic Data to a lack of usable data will also be Generation discussed, along with the various Generative AI for Synthetic factors that impact the growth of AI Sensor Data and Perception technology. Enhancement To make the students learn about the Overview of technologies technologies powering AI, an powering AI overview will be provided. This will 5G Technology include a detailed discussion on the Disruptive 45 Autonomous Vehicles and history and evolution of autonomous 3 Emerging mins their history and evolution vehicles, along with the components Technologies Internet of Things (IoT) and its of the Internet of Things (IoT). components. Discussions Additionally, 5G technology will also be covered, and its role in powering AI systems will be explored. Explanation of what an autonomous vehicle is. Transition of autonomous vehicles from concept to To introduce the students to reality autonomous vehicles, the objective is How an autonomous vehicle to explain what an autonomous Autonomous works. 45 vehicle is, discuss the transition of 4 Vehicles Real-world applications and mins autonomous vehicles from concept to Powered by examples of autonomous reality, explain how an autonomous AI vehicles. Discussions vehicle works, and provide real-world Generative AI for Simulated applications and examples. Scenario Generation in Autonomous Vehicle Training Generative AI for Synthetic Data Augmentation Definition of IoT and its core The objective is to provide an 45 IoT: Internet 5 components overview of IoT and its core mins of Things Understanding physical, components, understand the physical,  smart, and connected smart, and connected components of components of IoT IoT, highlight the importance of IoT in Importance of IoT in modern modern technology, and engage technology students in an activity to demonstrate Activity to demonstrate the its significance in daily lives through importance of IoT in our daily discussions. lives. Discussions Impact of Generative AI on Big Data, IoT, and 5G Technology How data is collected and To educate students on how data is used to make informed collected and used for informed decisions decision-making, understand how Understanding how maps and How More maps and GPS work to provide real- GPS work together to provide Data Can time traffic information, and explain 45 real-time traffic information. 6 Help Make the process of historical data mins Historical data collection and Smart collection and analysis for pattern analysis for pattern Decisions recognition. Additionally, students will recognition learn how AI models are trained to Training AI models to predict predict traffic at different times of the traffic at different times of the day. day Recap of the week's topics 10 To test the understanding of the 9 Quiz Quiz to test understanding of mins students about the topics discussed. the week's topics 2. Session Preparation Slides: i) [Slides] Week 2 ii) [Assignment] Week 2 Excel sheets: i) [Quiz] Week 2 Dependencies: i) Nil Logistics: For a class of 40 Item Quantity Laptop 20 3. Content Guide Recap previous week's topics and introduce AI and technology. Explain the importance of data collection for AI and discuss the limitations of AI due to a lack of usable data. Provide an overview of the technologies powering AI, including autonomous vehicles, IoT, and 5G technology. Discuss how data is collected and used for informed decision-making, and how AI models are trained to predict traffic at different times of the day. Engage students in activities and group discussions to enhance their understanding of the concepts. Recap the week's topics and test students' understanding through a quiz. 4. Assessment Rubric & Mode of Assessment Outcome Mode Partial Average Excellent Assessed Knowledge of the Multiple Able to answer Able to answer 4-6 Able to answer 7-10 history and choice 0-3 questions questions correctly. questions correctly. current trends in questions. correctly. data and technology Performance Levels: The rubric is set up at three levels of performance demonstrated by the Youth at the end of the module. Partial Proficiency - Learners have limited knowledge and skills. As a result, they can partially complete basic tasks included in the module at their grade level. Average Proficiency - Learners have developed sufficient knowledge and skills. As a result, they can complete the most basic included in the module at their grade level. Excellent Proficiency - Learners have developed superior knowledge and skills. As a result, they can complete complex tasks included in the module at their grade level. 5. Troubleshooting Tips Common Hardware Mistakes/ Issues Mistakes/ issues Possible reasons Resolution - - - 6. Suggested Reading for Facilitators Material Suggested Links Recommended Usage https://www.techopedia.com/the Examples from the article can be How AI ensure good -crucial-link-between-ai-and- shared with students during the quality data good-data-management/2/33477 lesson. 7. Bibliography Overview. (n.d.). McKinsey & Company. https://www.mckinsey.com/features/mckinsey- center-for-future-mobility/overview Intel Network and 5G. (n.d.). Intel. https://www.intel.com/content/www/us/en/wireless-network/5g- network/overview.html