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California Institute of Technology YouTube

Leveraging Internal Knowledge: Building AiKA at Spotify

Discover how Spotify built AiKA, a RAG-based internal AI knowledge assistance platform that empowers developers with instant access to organizational knowledge, featuring flexible APIs for custom knowledge ingestion.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
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California Institute of Technology YouTube

Superpowers for Humans of Kubernetes: How K8sGPT Is Transforming Enterprise Ops

Discover how K8sGPT, a CNCF project, uses AI to simplify Kubernetes operations, enabling teams to diagnose issues faster, scale efficiently, and focus on problem-solving rather than routine maintenance tasks.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Asimov's Zeroth Law of Robotics: Observability for AI

Explore the challenges of AI observability, from monitoring model drift to managing costs, with practical demos using OpenTelemetry, Prometheus, and OpenLit to ensure AI systems remain transparent and ethical.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

The Explorer's Guide to Cloud Native GenAI Platform Engineering

Discover a practical roadmap for building generative AI infrastructure on Kubernetes, from minimal viable setups to advanced features like LLM gateways, vector databases, load balancing, and performance optimization techniques.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Kubeflow Ecosystem: What's Next for Cloud Native AI/ML and LLMOps

Explore the evolution of Kubeflow as a leading ML platform on Kubernetes, focusing on its adaptation to support LLMOps, challenges in GenAI deployment, and the roadmap for next-generation ML infrastructure.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Kubernetes and AI to Protect Our Forests: A Cloud Native Infrastructure for Wildfire Prevention

Explore how Kubernetes and cloud-native technologies power AI-driven wildfire prevention systems, focusing on data pipelines, GPU acceleration, and storage solutions for processing satellite imagery and environmental data.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Mind the Gap: Bridging Cloud Native Innovation with Real-World Use

Explore real-world cloud native implementations from HSBC, Peptone, Spotify, and Apple as industry leaders share challenges, solutions, and innovations in scaling Kubernetes for enterprise applications.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI Enabled Observability Explainers - We Actually Did Something With AI!

Discover how eBay's Observability team combines algorithms with LLMs to create predictable "Explainers" for telemetry signals, enhancing trace, metric, and log interpretation beyond basic AI implementations.
provider YouTube
pricing Free Video
duration 15 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Autonomous AI Agents for Cloud Cost Analysis

Discover how Spotify built autonomous AI agents using LangGraph to streamline cloud cost analysis, featuring multi-agent architecture, task planning, and automatic query repair capabilities for delivering actionable cost optimization insights.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI Enabled Observability Explainers - We Actually Did Something With AI!

Discover how eBay's Observability team combines algorithms with LLMs to create predictable AI "Explainers" for telemetry signals, enhancing trace, metric, and log interpretation beyond basic LLM implementations.
provider YouTube
pricing Free Video
duration 15 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!