Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the fundamentals of agentic AI and agentic operating systems in this comprehensive 16-minute video tutorial that examines both the promising potential and concerning implications of autonomous AI agents. Learn what distinguishes agentic AI from traditional AI systems, understanding how these agents can operate independently to complete complex tasks across multiple applications and platforms. Discover key protocols enabling agent interoperability, including the Model Context Protocol (MCP) and Google's Agent-to-Agent (A2A) protocol, which facilitate seamless communication between different AI systems. Examine major orchestration platforms from tech giants like Microsoft AutoGen, IBM WatsonX Orchestrate, AWS Bedrock AgentCore, Google Vertex AI Agent Builder, and Salesforce's AgentForce that are shaping the agentic landscape. Investigate how operating systems are evolving to incorporate agentic features, with detailed coverage of Microsoft's experimental agentic capabilities in Windows 11 and Apple's development of MCP support. Analyze the positive aspects of agentic AI, including increased productivity, automation of complex workflows, and enhanced user experiences, while also confronting the potential drawbacks such as security vulnerabilities, privacy concerns, and job displacement. Delve into the more troubling long-term implications, including questions about human agency, control, and the societal impact of widespread autonomous AI deployment. Gain insights from industry research, including findings from MIT Sloan Management Review and BCG's survey on the emerging agentic enterprise, to understand how organizations are preparing for this technological shift and what the future may hold for human-AI collaboration.
