To become an AI developer, you can follow the roadmap below:

1. Master programming languages: Start by learning programming languages commonly used in AI development, such as Python and R. These languages have extensive libraries and frameworks for AI and machine learning.

2. Understand mathematics and statistics: Gain a solid understanding of mathematics and statistics, as they form the foundation of AI algorithms. Topics like linear algebra, calculus, probability, and statistics are essential.

3. Learn machine learning: Familiarize yourself with machine learning concepts and algorithms. Understand supervised and unsupervised learning, regression, classification, clustering, and neural networks.

4. Explore deep learning: Deep learning is a subset of machine learning that focuses on neural networks. Learn about convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep learning frameworks like TensorFlow and PyTorch.

5. *Study natural language processing (NLP)*: NLP is a branch of AI that deals with the interaction between computers and human language. Learn about techniques like sentiment analysis, text classification, and language generation.

6. Gain experience with data handling and preprocessing: Data is crucial in AI development. Learn how to collect, clean, preprocess, and analyze data. Understand data visualization techniques to gain insights from data.

7. Work on projects: Apply your knowledge by working on AI projects. Start with small projects and gradually tackle more complex ones. Building projects will help you gain practical experience and showcase your skills.

8. Stay updated: AI is a rapidly evolving field. Stay updated with the latest research papers, industry trends, and advancements in AI technologies. Participate in online communities, attend conferences, and follow AI experts and organizations.

9. Collaborate and network: Connect with other AI developers and professionals. Collaborate on projects, join AI communities, and participate in hackathons or competitions. Networking can provide valuable learning opportunities and career prospects.

10. Continuously learn and improve: AI is a field that requires continuous learning and adaptation. Stay curious, explore new techniques, and keep refining your skills. Embrace a growth mindset and be open to learning from failures and successes.

Remember, becoming an AI developer is a journey that requires dedication, practice, and continuous learning. The roadmap provided here is a starting point, and you can tailor it based on your interests and goals. Good luck on your path to becoming an AI developer!

📚 Sources

- AI Expert Roadmap 
• https://i.am.ai/roadmap/

- A Clear roadmap to complete learning AI/ML by the end of 2022 ... 
• https://www.reddit.com/r/learnmachinelearning/comments/qlpcl8/a_clear_roadmap_to_complete_learning_aiml_by_the/

- Roadmap to Become an AI Engineer - DataFlair 
• https://data-flair.training/blogs/how-to-become-ai-engineer/