This free online technology course from IBM experts, explains the importance of mastering concepts of artificial intelligence (AI)Embark on an exciting journey into the world of artificial intelligence (AI) with our comprehensive course from IBM experts that demystifies the technologies shaping our future. Learn what AI is, its fascinating history, and how concepts like machine learning, deep learning, and generative AI are transforming industries. Discover the benefits and risks of AI with real-world use cases, including how AI is applied across sectors like healthcare, finance, and education. You’ll also explore the essential distinctions between weak AI and strong AI along with insights into cutting-edge AI-related solutions and resources.
Dive deeper into specialized topics like generative AI, where you'll understand how it works, its model architectures, its ability to create art, text, and other outputs. Learn about its applications in fields such as entertainment, content creation, and business innovation, while addressing the challenges and ethical considerations that come with its use. Additionally, this course unpacks the principles of machine learning and its algorithms, highlighting reinforcement learning and neural networks to demonstrate how machines learn to make decisions. Through real-world examples, you’ll explore the advantages, limitations, and industry-specific applications of these technologies.
Beyond the technical components, this course highlights AI ethics and governance, emphasizing justice, openness, and responsibility in AI research. Explore AI bias concerns, causes, and real-world prevention strategies. Join us in this transformational field!
In This Free Course from IBM experts, You Will Learn How To
✅ Define and differentiate between machine learning, deep learning and natural language processing✅ Analyze ML principles supervised, unsupervised, and reinforcement learning, and their applications
✅ Describe neural convolutional, recurrent networks, and their role in advancing AI
✅ Discuss NLP principles, techniques for text analysis, sentiment analysis, and machine translation
✅ Identify and analyze real-world applications of AI across various sectors
✅ Discuss the future of AI including emerging trends, challenges, and potential advancements
