Colleagues, in the “CS50's Introduction to Artificial Intelligence with Python” course from HarvardX will learn to use machine learning in Python in this introductory course on artificial intelligence. This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own. You will learn graph search algorithms, adversarial search, knowledge representation, logical inference, probability theory, Bayesian networks, Markov models, constraint satisfaction, machine learning, reinforcement learning, neural networks, and natural language processing.
Enroll today (teams & execs welcome): http://edx.sjv.io/qz4bKq
Download your free AI-ML-DL - Career Transformation Guide.
For your listening-reading pleasure:
1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)
2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle)
3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle)
Much career success, Lawrence E. Wilson - AI Academy (share with your team)
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