1. Online Courses: Websites like Coursera, Edx, Udacity, LinkedIn Learning offer courses in AI where you can learn about the latest advancements.

2. Books: Books are a great resource to understand theoretical aspects like 'Artificial Intelligence: A Modern Approach' by Stuart Russell and Peter Norvig or 'Hands On Machine Learning' by Aurélien Géron.

3. Research papers: Websites like arXiv, Google Scholar etc. publish the latest research papers about AI.

4. Blogs/Podcasts/Vlogs: Blogs like Towards Data Science, Medium, KD nuggets publish articles related to the latest advancements in AI. Similarly, podcasts like 'The AI Podcast' by NVIDIA, 'The AI Alignment Podcast' and YouTube channels like 'Two minutes papers' discuss latest findings.

5. Online Communities and Forums: AI communities on Reddit, AI Stack Exchange, Quora, etc. provide discussions about the current trends in the AI domain.

6. Conferences and Webinars: AI-focused conferences like NeurIPS, ICML, AAAI, and webinars by AI researchers can provide insights about the latest research and advancements.

7. Newsletters: Weekly newsletters like 'AI Weekly', 'The Batch' by Deep Learning, 'Import AI' summarize the recent developments in AI.

8. Social Media: Follow AI influencers, experts and researchers on social media platforms like Twitter, LinkedIn for regular updates about the advancements.

9. Company Blogs: Big tech companies like Google, Facebook, OpenAI, DeepMind etc. publish their latest AI findings on their blogs.

10. Learn by Doing: Participate in online data science competitions on platforms like Kaggle, Zindi, DrivenData, etc. This will give you a hands-on experience of implementing AI models.

Remember, the field of AI is rapidly evolving and continuous learning is important to stay updated.