AI courses

6482 Courses

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Securing the Future of AI: Authorization Strategies for RAG Systems with LangChain4J and OpenFGA

Discover robust authorization frameworks for RAG systems using LangChain4J and OpenFGA, exploring RBAC and ReBAC implementation strategies to safeguard sensitive data while maintaining system efficiency.

On-Demand

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Building AI Agents with Model Context Protocol: From Specification to Implementation

Explore the Model Context Protocol for AI agent development, learning how to implement standardized interactions with external tools and resources using Spring AI MCP and Java SDK.

On-Demand

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How to Survive as a Developer in the Exponential Age of AI

Explore how developers can thrive amid rapid AI advancement with CTO Sander Hoogendoorn, who examines AI's current benefits, potential threats, and strategies for leveraging AI tools while maintaining code quality and professional relevance.

On-Demand

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From Data to Insights: Implementing Generative AI at Scale

Discover how to integrate Generative AI into enterprise platforms handling petabyte-scale data, from implementation challenges to successful deployment, with insights from Dynatrace's hypermodel AI Davis.

On-Demand

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Scale to 0 LLM Inference: Cost Efficient Open Model Deployment on Serverless GPUs

Discover how to run Ollama on serverless GPUs that scale efficiently, including down to zero when inactive, for cost-effective open LLM deployment with full control over models and private data.

On-Demand

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wAIred! Learn with AI - Critical Thinking in the Age of Artificial Intelligence

Explore how AI tools enhance learning experiences while examining their impact on critical thinking skills and independent thought in education.

On-Demand

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LLMs Can't Optimize Schedules, but AI Can!

Discover how mathematical optimization outperforms LLMs for complex scheduling tasks, and learn to use Timefold Solver for reliable AI-powered scheduling solutions without complex math.

On-Demand

YouTube

Make ChatGPT Reliable - Avoiding Hallucinations and Building Stable LLM APIs

Discover hard-won strategies for building reliable LLM APIs, avoiding hallucinations, enforcing consistency, and transforming any prompt into a stable, production-ready function.

On-Demand

YouTube

Neural Networks Demo: Understanding AI/ML Models

Discover how neural networks function in AI/ML models, exploring their structure, applications in image recognition, speech processing, and natural language understanding.

On-Demand

YouTube

The Truth About AI and Coding - Is Your Job Safe?

Explore the impact of AI on programming careers and learn how to leverage AI tools to enhance your coding abilities, from bug fixing to code understanding and verification.

On-Demand

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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!