Machine Learning courses
1795 Courses
Security Hot Takes: Confronting the AI Gold Rush
AI is accelerating changes across the cybersecurity landscape, creating both new vulnerabilities and new defenses. In this course, Security Hot Takes: Confronting the AI Gold Rush, you'll explore how artificial intelligence is rapidly reshaping the battlefield between hackers and defenders. From AI-driven attacks that hide in plain sight to next-le.
Pluralsight
IA como Ferramenta de Aprendizagem e Pesquisa
O curso IA como Ferramenta de Aprendizagem e Pesquisa aborda uma visão abrangente sobre a IA, com enfoque especial na sua aplicação como ferramenta de aprendizagem e de pesquisa, preparando os estudantes para navegar e aproveitar as oportunidades que essa tecnologia revolucionária oferece.
FGV Educação Executiva
AI and Machine Learning in Cybersecurity
Explore this fascinating field and develop the skills to leverage AI in your cybersecurity challenges. In this course, AI and Machine Learning in Cybersecurity, you’ll learn to use AI to leverage your cybersecurity skills. First, you’ll explore machine learning and anomaly detection. Next, you’ll discover AI cybersecurity strengths like ransomware,.
Pluralsight
Enhancing Traditional ML with Generative AI
As AI evolves, professionals are challenged with understanding how emerging Generative AI capabilities can coexist with traditional machine learning approaches. In this course, Enhancing Traditional ML with Generative AI, you’ll learn when to use these technologies and how they compliment each other. First, you’ll explore the differences and synerg.
Pluralsight
Introduction to Generative AI vs. Traditional ML
Understanding the difference between traditional machine learning and generative AI is crucial for making informed decisions about AI implementation. In this course, Introduction to Generative AI vs. Traditional ML, you’ll learn to evaluate, compare, and choose the best AI approach for your projects. First, you’ll explore the fundamentals of tradit.
Pluralsight
AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Model Development
AWS has a broad range of machine learning services to help businesses approach complex problems. In this course, AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Model Development, you’ll learn to navigate these services and select the approach that is most appropriate for your machine learning (ML) solutions. First, you’ll explore.
Pluralsight
AIOps: CI/CD for AI Systems
DevOps is a concept that has been around a long time and has been applied to ML and, recently, LLMs. In this course, AIOps: CI/CD for AI Systems, you’ll learn to apply CI/CD, a fundamental concept of DevOps, to ML, AI, and LLMs. First, you’ll explore how CI/CD pipelines work with ML models. Next, you’ll discover how to deploy to cloud environments.
Pluralsight
AWS AI Practitioner
The AWS Certified AI Practitioner Specialization is meant for those who desire to establish a solid base in Artificial Intelligence (AI) and Machine Learning (ML) and have the ability to utilize AWS cloud services. This specialization is aligned with the AWS AI Practitioner Certification exam and offers a broad understanding of AI concepts, generat.
Coursera
Q-Learning Unleashed: Building Intelligent Agents
In this course, we focus on building a Q-learning agent step by step. We start with the Bellman equation and the Q-table update, then implement a basic Q-learning function. Next, we incorporate an exploration policy (ε-greedy), and finally we demonstrate how to use the learned Q-table for decision making.
CodeSignal
Azure AI Services: Core applications
"Core Applications of Azure AI Services" is an introductory course designed to familiarize users with the practical application of Microsoft's Azure AI services in various real-world scenarios. It aims to bridge the gap between theoretical AI concepts and their actual implementation. You will learn how Azure AI services are utilized to solve real-.
edX