From AI history to no-code agents: master the foundations, tools, and skills to thrive in the AI era.
What you will learn
Understand the history and foundations of Artificial Intelligence
Identify the main categories of AI and their real-world applications
Use tools and platforms to build AI agents without coding skills
Create a step-by-step AI agent with RelevanceAI and collaborate with SMEs
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- Explore the societal and economic impact of AI, understanding its transformative potential across industries and daily life.
- Debunk common myths and cut through the hype surrounding AI, gaining a realistic perspective on its current capabilities and limitations.
- Grasp fundamental AI terminology and concepts, enabling confident engagement in AI discussions.
- Identify ethical considerations and challenges associated with AI development and deployment, fostering a responsible approach to emerging technologies.
- Uncover the critical role of data in powering AI systems, understanding its impact on performance.
- Learn to conceptualize and frame real-world problems for AI-driven solutions, shifting your problem-solving mindset.
- Understand diverse AI system typesβgenerative, predictive, prescriptiveβand their distinct applications.
- Critically evaluate AI tools and platforms, making informed decisions for specific project needs.
- Develop a strategic perspective on integrating AI into existing workflows and business processes, identifying opportunities for efficiency and innovation.
- Engage with interactive exercises to solidify AI principles and build application confidence.
- Discover leading AI resources, communities, and thought leaders, setting a solid foundation for continuous learning and professional networking in the AI space.
- Cultivate an innovative mindset, empowering you to envision and prototype AI-powered solutions that address tangible challenges.
- Position yourself as an informed contributor in discussions about AI strategy, capable of bridging the gap between technical teams and business objectives.
- PROS:
- Accessibility: No prior coding or deep technical background is required, making AI accessible to a broad audience.
- Practical Relevance: Strong focus on real-world applications and hands-on, no-code agent building ensures immediate applicability.
- Future-Proofing: Equips participants with fundamental knowledge and practical skills highly relevant for the evolving AI-driven job market.
- Empowerment: Transforms theoretical understanding of AI into actionable capabilities, fostering confidence in navigating the AI landscape.
- Holistic View: Beyond technology, the course touches upon the broader societal impact and ethical considerations of AI.
- CONS:
- Depth Limitations: As an introductory, no-code course, it does not delve into the complex mathematical, algorithmic, or programming intricacies of advanced AI model development.
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