Need Some advice From the Industry experts

I can offer some guidance on your career transition and learning path:

Current Situation (Leaving Web Dev):

Since you have limited time remaining at your current company, focus on a smooth handover and maintaining good relationships.

Transitioning to AI:

Absolutely, pursue your interest in AI! Your .NET experience is valuable. AI/ML often involves building backend systems that handle data, which aligns with your web development skills.

Learning Path:

Solidify Foundations:
- Math: Brush up on linear algebra, statistics, and calculus. These are crucial for understanding AI algorithms.
- Programming: If you're not familiar with Python, prioritize learning it. It's the dominant language in AI/ML.
AI/ML Fundamentals:
- Online Courses: Platforms like Coursera, edX, Udacity, and Fast.ai offer excellent AI/ML courses from reputable institutions.
- Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron or "Deep Learning" by Ian Goodfellow et al. are great resources.
Hands-on Practice:
- Kaggle Competitions: Participate in data science and machine learning challenges on Kaggle to apply your learnings to real-world problems.
- Personal Projects: Develop your own AI projects to solidify your skills and build a portfolio.

Learning Resources - Trust and Benefits:

Simplilearn:
- Research online reviews and compare course content with other platforms before enrolling.
- IIT Kanpur certifications can add credibility, but practical skills are more valued by employers.
- Consider focusing on learning the core concepts first, then explore certifications as you gain experience.

Additional Tips:

Network: Connect with AI professionals on LinkedIn and attend online/offline meetups to learn from their experiences.
Stay Updated: The field of AI is rapidly evolving. Subscribe to blogs and follow thought leaders to stay current with advancements.

Please accept my answer if you found the same as useful.

1 Reply

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Jithu Thomas2y ago
Accepted answer
I can offer some guidance on your career transition and learning path:

Current Situation (Leaving Web Dev):
- Since you have limited time remaining at your current company, focus on a smooth handover and maintaining good relationships.
Transitioning to AI:
- Absolutely, pursue your interest in AI! Your .NET experience is valuable. AI/ML often involves building backend systems that handle data, which aligns with your web development skills.
Learning Path:
1. Solidify Foundations:
  
  Math: Brush up on linear algebra, statistics, and calculus. These are crucial for understanding AI algorithms.
  
  Programming: If you're not familiar with Python, prioritize learning it. It's the dominant language in AI/ML.
2. AI/ML Fundamentals:
  
  Online Courses: Platforms like Coursera, edX, Udacity, and Fast.ai offer excellent AI/ML courses from reputable institutions.
  
  Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron or "Deep Learning" by Ian Goodfellow et al. are great resources.
3. Hands-on Practice:
  
  Kaggle Competitions: Participate in data science and machine learning challenges on Kaggle to apply your learnings to real-world problems.
  
  Personal Projects: Develop your own AI projects to solidify your skills and build a portfolio.
Learning Resources - Trust and Benefits:
- Simplilearn:
  
  Research online reviews and compare course content with other platforms before enrolling.
  
  IIT Kanpur certifications can add credibility, but practical skills are more valued by employers.
  
  Consider focusing on learning the core concepts first, then explore certifications as you gain experience.
Additional Tips:
- Network: Connect with AI professionals on LinkedIn and attend online/offline meetups to learn from their experiences.
- Stay Updated: The field of AI is rapidly evolving. Subscribe to blogs and follow thought leaders to stay current with advancements.
Please accept my answer if you found the same as useful.
+4