Can I transition from Mechanical Engineering to AI for top jobs?

Ans: What is your age and qualification?

Ans: This is a broad question. You need to share your academic background, skills, experiences etc for further advice.

Ans: Here’s a simple step-by-step path you can follow to get started in AI:
1. Start with Python – Since you have a technical background, learning Python will be easy. It’s the main language used in AI. Use beginner-friendly platforms like Coursera or Udemy.
2. Learn AI Basics – Begin with the basics of machine learning (ML), which is a core part of AI. A good course is Andrew Ng’s ML course on Coursera.
3. Explore Practical Tools – Learn tools like TensorFlow or PyTorch (for ML models) and basic data handling using Pandas and NumPy.
4. Focus on Projects – Try small hands-on projects like predictive maintenance (can relate to your industry), image recognition, or control systems using AI. This will bridge your domain knowledge with AI.
5. Join AI Forums or Groups – Connect with AI communities, maybe even ones for professionals in engineering fields. You’ll learn a lot from discussion and real problems.
6. Optional: Certifications – If you want formal recognition, go for AI certifications from IBM, Google, or Microsoft.
Since you’re already a consultant, you could eventually apply AI to industrial automation, fault detection, or predictive analytics in cement and power sectors.
Go step by step—don’t rush. Even 1 hour a day will help you grow steadily.