Machine Learning courses

1770 Courses

Udemy

AWS Certified AI Practitioner AIF-C01 [Beginner to Advanced]

Udemy

LangGraph- Develop LLM powered AI agents with LangGraph

Discover the capabilities of LangGraph by building and deploying cutting-edge LLM AI agents swiftly using Python. Enroll in our comprehensive courses offered by Udemy to deepen your understanding of Artificial Intelligence, Machine Learning, LangChain, Multi-Agent Systems, and Retrieval Augmented Generation (RAG). Whether you're an AI enth.

Udemy

LLM Engineering: Master AI & Large Language Models (LLMs)

Embark on a groundbreaking journey into the world of AI with our LLM Engineering course. Designed by experts, this course equips you with the skills necessary to become a proficient LLM Engineer in just 8 weeks. Throughout the course, you'll build and deploy eight innovative LLM applications, gaining hands-on experience that solidifies your.

Udemy

Azure AI Studio - Complete Guide to Azure AI Studio Copilot

Elevate your expertise in AI with our comprehensive Azure AI Studio - Complete Guide to Azure AI Studio Copilot. This masterclass offered by Udemy equips you with the knowledge to build innovative Generative AI applications and copilots. Discover how to automate tasks effectively using Gen AI, delve into Retrieval Augmented Generation (RAG), a.

Udemy

ChatGPT Data Analyst: Fast-track Data Analysis with Open AI

Unlock the potential of data analysis with the ChatGPT Data Analyst course, designed to help you fast-track your journey in data science using OpenAI's ChatGPT-4. This course empowers you to effortlessly clean, manipulate, and analyze data, all while developing machine learning models. Suitable for both beginners and seasoned data professionals.

Udemy

Generative AI and ChatGPT Masterclass for Software Engineers

Elevate your skills with the Generative AI and ChatGPT Masterclass tailored specifically for software engineers. This comprehensive course offers the perfect blend of theoretical underpinnings and practical know-how. Explore AWS Gen AI, Bedrock, and Gemini through immersive, hands-on training sessions. Whether you're just starting or looking.

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OCI AI Foundations Associate 1Z0-1122-24 Exam Preparation

Udemy

Responsible AI: Principles, Practices, and Applications

Responsible AI: Principles, Practices, and Applications | Udemy Course Join the course on Responsible AI: Principles, Practices, and Applications, and learn how to implement AI responsibly. Offered by Udemy, this course is perfect for those looking to deepen their understanding of responsible AI practices and ethics in the world of Art.

Udemy

Generative AI for Professionals and Leaders

Advance your professional journey with the course "Generative AI for Professionals and Leaders" offered by Udemy. This comprehensive learning experience is designed to help you excel in your career by effectively leveraging Generative AI. Dive into essential areas such as Learning, Implementation, Change Management, and the establishment of a G.

Udemy

AI Made Accessible

Unlock the world of artificial intelligence with "AI Made Accessible," a comprehensive beginner's guide that aims to elevate your skills in prompt engineering and more. Hosted by Udemy, this course offers a deep dive into essential AI concepts through practical, hands-on labs designed to enhance your knowledge and proficiency. In this course,.

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Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Voice assistant Alisa. This system, without human help, will always find the answer to any question of interest, turn on music, answer the call and much more.

Selecting relevant advertising in browsers is not an easy process for a person, but it is quick for a computer. The system will analyze the viewing data and select what a particular user will like. The same system is used on various marketplaces - products that a person viewed or purchased are offered.

Chatbots in various dialogues. For example, many banks use bots to solve customer problems. It's convenient and fast.

Data security: Machine learning models can identify data security vulnerabilities before they become breaches. By analyzing past experiences, machine learning models can predict future high-risk actions so that risk can be mitigated proactively.

Finance: Banks, trading brokers and fintech firms use machine learning algorithms to automate trading and provide financial advisory services to investors. Bank of America uses chatbot Erica to automate customer support.

Healthcare: Machine learning is used to analyze massive medical data sets to speed up the discovery of treatments and cures, improve patient outcomes, and automate routine processes to prevent human errors. For example, IBM Watson uses data mining to provide doctors with data they can use to personalize patient care.

Fraud detection: AI is used in the finance and banking sector to autonomously analyze large numbers of transactions to identify fraudulent activities in real time. Technology services company Capgemini says fraud detection systems using machine learning and analytics reduce fraud investigation time by 70% and increase detection accuracy by 90% .

Retail: AI researchers and developers are using machine learning algorithms to develop AI recommendation engines that make relevant product suggestions based on shoppers' past choices, as well as historical, geographic and demographic data.

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

Average knowledge of statistics and probability.

Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

Understanding Calculus.

Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!