Life Sciences Education has become increasingly important in today's rapidly changing world, as it equips students with the knowledge and skills needed to tackle complex global challenges in various biology fields. With the emergence of Web 3.0 and Artificial Intelligence (AI), numerous opportunities exist to revolutionize Life Sciences Education and enhance student learning. However, integrating these technologies into traditional teaching methods poses significant challenges. This paper aims to explore the opportunities and challenges of Web 3.0 and AI in Life Sciences Education and provide recommendations for successful integration. The opportunities of Web 3.0 and AI in Life Sciences Education include enhanced personalized learning, increased engagement, access to vast amounts of data, and innovative assessment strategies. However, ethical concerns related to AI, integration with traditional teaching methods, training and professional development for educators, and cost and accessibility issues are among the challenges. The paper also provides case studies of successful implementation and recommendations for addressing ethical concerns, professional development, funding and accessibility, and collaboration between educators and technology experts. The paper concludes with implications for future research and practice in Life Sciences Education.