AI Essentials

AI Essentials

Tuesday, November 21, 2023

• 10:00 AM to 12:00 PM Eastern Time  (starting 7:00 AM PT / 2:00 PM GMT)
• 2 Hours

ZOOM Registration Link

This introductory AI with Blockchain Essentials course explores the world of artificial intelligence (AI) and blockchain technology through a non-technical lens.  Eight modules designed to provide a comprehensive understanding of the principles and applications of Artificial Intelligence (AI) and Blockchain technology. 

Total Hours: 3

• Live Instructor-Led Online: 2 Hours
• Sefl Study Hours: 1 Hour

Includes (Optional):

• Live Student Orientation
• Live Instructor-Led AMA (Ask-Me-Anything)

Support:

• Contact support@on36o.io

Key Learning Objectives:

• Understand basic concepts behind AI and blockchain
• Recognize examples of AI and blockchain applications in everyday life
• Consider potential benefits and risks of these technologies
• Discuss ethical implications of AI and blockchain innovations
• Imagine how these technologies may shape the future.

Module 0: Introduction

• Brief overview of AI and blockchain in plain language
• Potential benefits of combining technologies 

Module 1: AI Concepts

• Key AI concepts like machine learning without jargon
• Focus on real-world examples and applications

Module 2: Blockchain Basics 

• High-level look at how blockchain works 
• Transparency benefits

Module 3: Use Cases

• Examples of AI and blockchain applications (see Use Case link)
• Benefits to consumers and industries

Module 4: Ethical Considerations

• Data privacy, security and other ethical aspects
• Emphasize importance of ethics in technology development

Module 5: Challenges and Opportunities 

• Challenges like bias in AI and adoption of blockchain
• Future opportunities and impact on society

Module 6: The Future

• Where AI and blockchain are heading
• Potential impact on jobs, businesses, and daily life   

Module 7: Key Takeaways

• Main points about AI, blockchain and their promise
• A look at a more transparent and empowered future

Use cases:

Supply Chain Management

Within the realm of Supply Chain Management, Blockchain’s distributed ledger is instrumental in tracking products at every step of the supply chain, hence ensuring transparency and traceability. In conjunction, AI algorithms delve into supply chain data to optimize routes, highlight inefficiencies, and foresee delays. The unison of these two technologies paves the way for intelligent, real-time optimization and automation of convoluted global supply chains.

Healthcare Records

Moving on to Healthcare Records, Blockchain shows its prowess by securely storing medical records and maintaining a chronological narrative of health data. Simultaneously, AI analytics tools peruse these records to discern health trends, craft personalized treatment recommendations, and anticipate outbreaks. Collectively, these technologies streamline accurate diagnosis and treatment while safeguarding sensitive patient data.

Autonomous Vehicles

As for Autonomous Vehicles, these self-driving entities are heavily reliant on AI technologies such as computer vision and deep learning. Correspondingly, Blockchain can be employed to securely communicate with and authenticate other vehicles on the road. Additionally, it can facilitate autonomous payments for transportation services like tolls and parking. This amalgamation of technologies enables smart mobility, powered by AI and protected by Blockchain.

Fraud Detection

Lastly, in the context of Fraud Detection, AI algorithms demonstrate their capability by identifying patterns and irregularities in financial transactions that could signify fraud. In parallel, Blockchain provides an unalterable record of all transactions. When combined, AI can promptly flag potential fraud in real-time, while Blockchain ensures an accurate account of the transaction history for investigation, culminating in a much faster and more reliable fraud detection mechanism.