the roadmap to be a great AI engineer/researcher/data scientist

AI Engineer / Data Scientist / Researcher : Let’s connect everyone. Send me connection invites, I accept all invites. I speak and write regularly about AI updates, AI education materials, AI technologies, AI models, etc. thank you.

Here’s the roadmap to be a great AI engineer/researcher/data scientist.

- **Level 1**: Foundations (math, statistics, Python implementation).

- **Level 2**: ML/DL basics (neural networks, model evaluation, core ML).

- **Level 3**: Generative AI (LLMs, RAG, optimization techniques).

- **Level 4**: Advanced engineering (ethics, fine-tuning, AI agents).

Some of my tips to people I'm mentoring:

-- ALWAYS LEARN THE BASICS FIRST.

-- ALWAYS BE LEARNING CONTINUOUSLY: Experience is good but if u stop learning or think u know everything, the probability of failure is higher. I had seen "experienced" people in tech meetings who obviously display little knowledge about AI, resulting in a failed meeting. Nothing beats hard work.

-- BE SPECIFIC ABOUT WHAT EXACTLY IS THE AI: Many people talk about AI in very broad strokes and don't truly know what is the technology, resulting in failures. BE PRECISE. Don't just say the easy words about "democratizing AI". Anybody can say these words easily, so they don't need to hire you. Be specific. How easily do u spread the AI? Read the AI research papers. Go to Hugging Face and start playing with the AI models.

Good luck and all the best to your AI learning journey. Let's learn AI together.