Machine Learning News·1y13 Free AI Courses on AI Agents in 2025
Explore 13 free courses on AI agents available in 2025, covering various aspects like multi-agent systems, prompt engineering, LangGraph basics, AI agent development, large language models, agent design patterns, and serverless workflows. These courses cater to both beginners and experienced professionals seeking to stay ahead in the field of AI.
Towards AI·1yData Scientists in the Age of AI Agents and AutoML
The role of data scientists is transforming with the advent of AI agents, AutoML, and pre-trained models. Traditional skills like Python scripting and model building are no longer sufficient. Modern data scientists need to focus on end-to-end solutions, understanding the entire data lifecycle, cloud platforms, CI/CD practices, and possess strong business acumen. Mastery of tools like Docker, Kubernetes, and major cloud services is essential. The emphasis is shifting from coding to integrating models into scalable, business-critical systems.
IBM Technology·1yBuilding AI Applications with Large Language Models
Building AI applications isn't as daunting as it sounds. The process typically involves creating a user interface that connects to a library or framework, which then interacts with an API provided by a large language model (LLM) provider. There are three primary patterns for implementing AI applications: basic prompting, retrieval augmented generation (RAG), and AI agents. Basic prompting uses direct questions and instructions, RAG leverages vector databases for context-aware responses, and AI agents use tools and frameworks to dynamically plan and provide answers.