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Agentic LLMs for Developers - Pluralsight
The Agentic LLMs for Developers is designed to equip software developers with the skills and knowledge necessary to create, deploy, and optimize AI agents powered by Large Language Models.
Agentic AI for Developers - Pluralsight
In this course, Agentic AI for Developers, you’ll learn to design and integrate agentic AI systems into real-world software workflows. First, you’ll explore the core principles of agentic AI and how they differ from traditional ML and generative models.
Foundations of Agentic AI | Instructor-Led Training | Pluralsight
Participants will gain hands-on experience designing, building, and deploying intelligent agents capable of reasoning and interacting in natural language, powered by Hugging Face’s free pre-trained models.
Integrating Agentic AI for Developers - Pluralsight
Developers will be equipped to design and implement Agentic AI systems effectively. The course covers common frameworks, orchestration strategies, safety considerations, and real-world use cases like task automation, assistants, and workflow agents.
Advanced AI-assisted Development - Pluralsight
AI development outcomes vary widely as a result of improper context management and inconsistent application. This course will teach you to build a robust, repeatable, and trustworthy AI-assisted development practice on your team.
Introduction to Developing AI Agents - Pluralsight
First, you’ll explore the fundamentals of AI agents, including their architecture, types, and use cases. Next, you’ll implement a basic AI agent framework in Python. Finally, you’ll learn to develop advanced agents that leverage LLMs to reason, interact with its environment, and achieve goals.
Evaluating and Optimizing LLM Agents - Pluralsight
This course is designed for AI engineers, developers, and data scientists building intelligent agents who must ensure those agents produce accurate, relevant, and efficient responses—especially in complex enterprise environments.
AI skill development | Pluralsight
Prepare for the future of AI with curated, hands-on learning from AI experts. Get on-demand access to courses on ChatGPT, prompt engineering, and more.
AI-powered Python Applications: Using Agentic Frameworks
Experienced software developers need to integrate advanced AI capabilities into their applications. In this course, Getting Started with AI in Python: Models, APIs, and Web Apps, you'll learn to develop autonomous AI agents using Python.
Integrating AI Agents into Development Workflows - Pluralsight
Learn to build, deploy, and maintain AI agents that enhance developer workflows by automating code refactoring, DevOps tasks, and knowledge retrieval from documentation.
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