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Hanzala
Hanzala

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How to become an AI Engineer in just 3 months?

I literally spent 40 hours finding the perfect roadmap for beginners with a step-by-step weekly guide.

Week 1-2 Python + ML concepts

  • Focus on Numpy, Pandas, OOP, decorators, generators
  • Watch Andrew Ng's ML course on Coursera
  • Make a Simple classification or regression project, e.g., Titanic prediction

Week 3-4 Deep Learning(TensorFlow/PyTorch)

  • PyTorch and TensorFlow basics
  • CNNs, RNN's and transformers basis
  • Make a Sentiment analysis project

Week 5-6 LLMs and Prompt Engineering

  • Learn how LLMs work
  • Learn how to use OpenAI and Gemini models
  • Study RAGs and fine-tuning
  • Read LangChain's docs

Week 7-8 Production AI

  • Learn how to deploy models using Docker and GitHub Actions
  • Learn about MLOp's concepts
  • Do a basic project like an AI resume screener

Week 9-10 Build your AI portfolio

  • Create a minimum of three portfolio projects using GenAI, ML models and DL models
  • Polish your GitHub and improve the READMEs
  • Connect with AI professionals

Week 11-12 Internship and Job Hunting

  • Apply to AI engineering and freelance gigs at Upwork or any other platform
  • Approach newly funded startups and YC companies
  • Do as many cold DM's possible
  • Finally, launch your own SaaS tool

Outcomes after 90 Days of grinding

  • 3 to 5 solid projects on your resume
  • Working knowledge of AI/ML
  • Ready to freelance, job hunt or launch your own products

How to make it highly paid

  • Focus on ML and GenAI tools
  • Offer solutions to big tech companies
  • Use AI tools to learn more about AI/ML

Reach out us https://byteoniclabs.com if you need any help.

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