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California Institute of Technology Coursera

Harnessing Ollama – Create Local LLMs with Python

Master Ollama and Python to build local LLM applications with practical projects like RAG systems, sentiment analysis tools, and voice-enabled interfaces for real-world use cases.
provider Coursera
pricing Free Online Course (Audit)
duration 6 hours 23 minutes
sessions On-Demand
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California Institute of Technology Coursera

Semantic Kernel SDK for Intelligent Applications

Unlock the full potential of AI applications by integrating Large Language Models with Microsoft's Semantic Kernel SDK, creating intelligent agents, chat applications, and custom plugins for business solutions.
provider Coursera
pricing Free Online Course (Audit)
duration 6 hours 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

Probabilistic Foundations of Metacognition via Hybrid AI

Discover a new probabilistic theory of metacognition through hybrid AI, explaining experimental results at the intersection of symbolic methods and deep learning.
provider YouTube
pricing Free Video
duration 22 minutes
sessions On-Demand
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California Institute of Technology YouTube

Overhyped or Undervalued? Exploring AI in Medicine

Explore the potential and limitations of artificial intelligence in medicine with cardiovascular experts, examining whether AI is overhyped or undervalued in healthcare applications.
provider YouTube
pricing Free Video
duration 46 minutes
sessions On-Demand
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California Institute of Technology YouTube

Uncertainty AI: Breakthrough for Human-AI Reasoning

Discover how Google's Uncertainty AI framework in MedAI creates a blueprint for human-aligned AI by implementing iterative, transparent reasoning processes that mirror clinical decision-making in high-stakes domains.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

A Smarter Way to Fine-Tune LLMs - Unlock Deeper Reasoning

Discover a smarter approach to fine-tuning Large Language Models that enhances their reasoning capabilities and generalization from in-context learning, based on research from Google DeepMind.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

RAG in Generative AI: Demystifying Retrieval-Augmented Generation

Demystify RAG technology in generative AI, understanding how it grounds models in verified data to reduce hallucinations while exploring implementation challenges and practical applications in AWS Bedrock.
provider YouTube
pricing Free Video
duration 45 minutes
sessions On-Demand
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California Institute of Technology YouTube

Claude Code Review: Pattern Matching, Not Intelligence

Explore the reality behind Anthropic's Claude Code tool - a powerful pattern matching system rather than true AI, with practical advice on leveraging it effectively while avoiding common pitfalls.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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California Institute of Technology YouTube

Reframing GenAI as Not AI - Generative Search, Auto-Complete and Pattern Matching

Uncover the reality behind AI hype: what we call "AI" is actually generative search and pattern matching without true intelligence. Learn why reframing these technologies as IT tools rather than magical solutions leads to better implementation.
provider YouTube
pricing Free Video
duration 17 minutes
sessions On-Demand
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California Institute of Technology YouTube

Controlling My Mac With Claude Code and LLM OS MCP Servers

Explore how to control Mac systems using Claude's code capabilities and implement "LLM OS" MCP servers for advanced automation.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand

Artificial intelligence is the ability of a machine to imitate human thinking. This is the name of modern technology with the help of which electronic devices, programs and robots can solve various problems using given algorithms. We tell you where to start studying AI course and why it is needed.

What is AI course and why is it so interesting?

The topic of artificial intelligence course and machine thinking interested scientists even before the invention of computers, and after the advent of computers it reached a new level. In the 1950s and 60s, issues related to the creation and use of artificial intelligence began to be widely discussed in society.

The answer to this question is also difficult to find because there are no clear criteria for the intelligence of a machine. If this is the ability to make logical conclusions, then the computer has long surpassed humans. When it comes to flexibility and originality of thinking, humans are still superior to even the most modern intelligent devices.

AI is actively used in a variety of fields, the list of which is expanding every year, and not only techies, but also humanists—specialists in project management, advertising and PR, psychologists, economists, and linguists—can find their place in this area.

What can artificial intelligence course programs do?

Modern artificial intelligence technologies make it possible to create devices and programs that:

find the maximum possible solutions to one situation; machine intelligence can quickly analyze all options and calculate which one will be the cheapest, safest, and most effective. The machine’s responses will depend on what task a person has given it. For example, AI courses online can show how to calculate which model or product is more profitable to produce based on data on the cost of consumables and sales volumes.

can answer any questions integrated into their system; at the same time, the machine can not only find a ready-made answer in the database, but also search for it using intermediate leading questions that gradually narrow the search area.

collect and process large amounts of information, analyze it, combine unrelated pieces of information; This is how, for example, the image search system works in Google.

Artificial intelligence is a technology not only of the present, but also of the future, and specialists in this field will not have problems finding employment in the next few decades. Huge investments are already being attracted to this area, which means there will be no problems with remuneration for workers involved in the development, production and implementation of the best AI courses technologies from AI Eeducation.

Contribution to science and culture

Artificial intelligence and the creation of intelligent programs and devices is an area in which new discoveries are constantly being made. By working on artificial intelligence, scientists and engineers are at the forefront of world science, moving humanity forward. In addition, the development of artificial intelligence and its introduction into our lives gives rise to many ethical and philosophical questions, the resolution of which requires not a machine mind, but a human mind capable of creative thinking.

Creation

In the field of creating AI, not only software developers are in great demand, but also people with creative thinking who are able to come up with and promote new ideas. To work in this field, it is important to be able to think outside the box. A separate promising area that a creative person can take up is teaching a machine to create works of art. Already today computers draw pictures, write music and poetry. In the near future, perhaps they will take over the creation of books, films and cartoons.

Mastering new skills

To work in the field of artificial intelligence, you need a good knowledge of mathematics and basic programming. For the study of AI, the two most important branches of mathematics are linear algebra and probability theory. The most popular programming language in this area is Python, followed by R and Lua. Knowledge of the English language will also be useful - the most modern scientific data, articles, reports on achievements and experiments are usually published in English!