The Course
Dive into the fascinating world where machines think and learn! This eye-opening journey kicks off with the fundamentals, unpacking the big ideas that form the backbone of AI, such as machine learning, neural networks, and deep learning. You'll get acquainted with the concepts that evolved from science fiction to the everyday tools that power our lives. From Siri's helpful banter to the algorithms that suggest your next favorite song, we'll connect the dots between the theory and the magic happening behind your screen.
As we peel back the layers of this cutting-edge tech, we'll also explore the ethical implications and how AI is rewiring the fabric of society. We'll lay a foundation here so that with further study you'll have necessary insight into how AI is revolutionizing industries. Whether you're curious, a budding tech enthusiast, or looking to future-proof your career, understanding AI is an invaluable asset. Get ready to unlock a treasure trove of knowledge that paints a clear picture of how artificial intelligence is shaping our world and the endless possibilities it holds for transforming our future.
What You Will Learn
Unlock the future with AI 101, an innovative course designed to teach you the basics of Artificial Intelligence, including essential terms and concepts. Discover how past technological revolutions have reshaped industries, and why adapting to the current AI wave is more critical than ever. Learn about the big players driving AI innovation, explore which jobs are most at risk, and find out where the top opportunities lie as AI continues to advance. We’ll also tackle the big question: “Will humans be replaced by AI?” Don’t be left behind—equip yourself with the knowledge to thrive in an AI-driven world!
Curriculum
- Artificial Intelligence (4:44)
- Machine Learning (2:43)
- Deep Learning (3:24)
- Neural Network (3:19)
- Algorithm (3:04)
- Natural Language Processing (NLP) (2:48)
- Data Mining (3:01)
- Supervised Learning (3:16)
- Unsupervised Learning (3:25)
- Reinforcement Learning (3:09)
- Artificial Neural Networks (ANNs) (3:30)
- Overfitting (3:59)
- Big Data (3:55)
- Computer Vision
- Fuzzy Logic (3:00)
- Turing Test (2:45)
- Cognitive Computing (2:57)
- Generative Adversarial Networks (GANs) (3:26)
- Black Boxes (2:45)
- Robotic Process Automation (RPA) (2:42)
- Sentiment Analysis (2:46)
- Narrow AI (2:51)
- General AI (3:01)
- Superintelligent AI (3:16)
- Internet of Things (2:26)
- Overview and Importance of Industry Displacement (1:11)
- Horse and Buggy (5:14)
- Natural Ice Industry (6:39)
- Telegraph (7:11)
- Blacksmithing (6:23)
- Photography (7:52)
- Video Rental Stores (8:20)
- Print Media (8:57)
- Travel Agencies (10:17)
- Postal Services (10:10)
- Encyclopedias (9:49)
- Case Study: Kodak (7:35)
- Case Study: Blockbuster (8:08)
- Case Study: IBM (8:43)
- Case Study: Netflix (8:14)
- Conclusion: Adaptation is Not Optional (2:24)
- Why Study AI? (4:14)
- Will Humans Be Replaced by AI? (4:00)
- Ethical and Practical Concerns of AI (5:37)
- A Brief History of AI (8:03)
- AI At Work (8:28)
- Who are the Big Players in AI? (10:29)
- Top Jobs and Industries Because of AI (12:11)
- Most Dangerous Jobs and Industries Because of AI (15:29)
- What If I Don't Study AI? (4:43)
- A Warning About Transhumanism (6:28)
Informative
Familiarize Yourself with the Core Concepts of AI
Transformative
Explore Technology's Impact on Our Society
Personal and Practical
Learn Why You Must Adapt to New and Emerging Technology