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Stanford University, a titan in tech education, has crafted a comprehensive webinar titled “Agentic AI: A Progression of Language Model Usage.” This course meticulously covers the foundation and advanced applications of language models (LMs), including Retrieval Augmented Generation (RAG) and agentic design patterns. Enthusiasts can learn about the limitations, tool usage, and the evolving landscape of agentic LMs.
Harvard Law School steps into the arena with its pioneering course, “Agentic Artificial Intelligence and the Law.” This academically intensive course provides a thorough introduction to the technical dimensions of AI and critically examines the legal, ethical, and policy implications of agentic AI. It rounds off with a public-facing workshop, inviting discourse on the impact of autonomy in AI systems.
Vanderbilt University has partnered with Coursera to offer a specialization called “Agentic AI and AI Agents for Leaders”. This trio of courses is tailored for leaders looking to integrate agentic AI into their operations. From the fundamentals of agentic AI, building basic agents with custom GPTs, to prompt engineering for ChatGPT, this series covers a broad spectrum of practical applications.
DeepLearning.AI presents a concise yet rich course on “AI Agentic Design Patterns with AutoGen.” Participants will get hands-on experience building multi-agent systems, implementing diverse roles, capabilities, and agentic design patterns such as planning and tool use. This course is perfect for those aspiring to use AI for complex tasks like financial analysis and detailed reporting.
Udemy ramps up the options with its comprehensive offering, “Artificial Intelligence A-Z 2025: Agentic AI, Gen AI, and RL.” This extensive course features 15 hours of on-demand video, teaching participants to build various AIs for diverse applications, and master the theory and practical aspects of state-of-the-art AI models.
Lastly, AgileFever’s “Agentic AI Bootcamp Certification Training” covers a wide range of topics from the basics of LLMs and advanced retrieval techniques to optimizing RAG performance. This 20-hour program is ideal for those seeking to combine memory, tools, planning, and action for solving real-world problems.
Not to be overlooked, Krishna IK Academy offers a free course titled “Building Agentic AI,” focusing on the use of innovative frameworks like Langflow and Autogen. This course is tailored for those interested in learning how agentic AI can learn, adapt, and engage in complex problem-solving. Additionally, individuals interested in advancing their skills can enroll in Gignaati’s Masterclass by Yogesh Huja, which offers a “Become an AI Agent Developer in 7 Days” program. All participants in this course will receive access to Gignaati’s Freelancer Basic Plan for 1 year, valued at $180 USD.
Across these varied educational offers, several themes stand out:
As agentic AI continues its rapid evolution, the academic world is keeping pace, regularly updating course contents to include the latest advancements and best practices. The increasing availability and diversity of courses reflect the growing significance and complexity of AI technologies in today’s digital narrative.
Enrolling in any of these agentic AI courses could be a pivotal step in understanding and shaping the future of AI. Whether you’re guiding a tech team, building AI systems, or engaged in policy-making, these courses offer invaluable insights and skills to help you excel in the AI-driven world. So why wait? Dive into the world of agentic AI today and be part of crafting tomorrow’s technology.
A: Agentic AI refers to artificial intelligence systems designed to operate autonomously, making decisions and performing tasks without constant human guidance. These systems can adapt, learn, and interact with their environment to achieve specific goals.
Q: Who can benefit from these Agentic AI courses?
A: Anyone interested in artificial intelligence, from aspiring technologists and seasoned developers to leaders and policymakers, can benefit from these courses. They offer valuable insights into the development, implementation, and implications of agentic AI systems.
Q: Are there prerequisites for enrolling in these courses?
A: Prerequisites vary by course. Some university-led programs may require a background in computer science or related fields, while online platforms often cater to beginners and professionals alike. It’s best to check the specific course requirements before enrolling.
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