According to @DeepLearningAI, the new Agentic AI course taught by Andrew Ng is now available globally, providing hands-on instruction for designing and evaluating advanced AI systems that plan, reflect, and collaborate across multiple steps using raw Python. This course, offered exclusively through DeepLearning.AI, focuses on practical skills for building agentic AI, a rapidly growing trend in artificial intelligence that enables more autonomous and robust applications. The course emphasizes real-world implementation, making it a valuable opportunity for AI professionals and companies seeking to leverage state-of-the-art agent-based architectures for business innovation and competitive advantage (source: @DeepLearningAI, Oct 7, 2025).

According to DeepLearning.AI (@DeepLearningAI), the integration of GenAI with Streamlit is transforming the way developers prototype AI-powered applications. The course 'Fast Prototyping of GenAI Apps with Streamlit' demonstrates how developers can now bypass hours of traditional setup and boilerplate coding. Instead, GenAI enables teams to begin with their project intent and quickly generate working code, drastically shortening the time from idea to functional app (source: DeepLearning.AI, Twitter, Sep 5, 2025). This shift allows businesses to rapidly test more ideas and iterate on AI solutions, leading to enhanced innovation and faster market validation. For AI startups and enterprises, leveraging GenAI-driven prototyping tools like Streamlit offers a distinct advantage in reducing development cycles and accelerating the deployment of data-driven applications.