A list and roadmap for AI

AI Discussions
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Hi Guys,

I am Aravind starting to learn ML and AI so can anyone provide general road map and them provide a detailed road map based on (short(>30)/specialization(12))courses(total 74,Normal:4) present in DeepLearning.AI for AI engineer and if anyone know what are roles in AI(from hottest to normal) please write them too.

Thank you for taking time to read above (as it might look like prompt but i have written it.)

1 Like
2

What do the numbers 30, 12, 74, and 4 indicate in your message?

I recommend you use the forum search tool for the word “roadmap”. This is a fairly well-trodden path.

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The no of appox.courses in Deeplearning.AI(and Beta too) platform like Finetuning Large Language Models,LangChain for LLM Application Development,… etc
more than
30 short courses,
12 specializations,
4 classified as (normal)courses,
and i think total of 74 courses

4

AI development Tools List

  • Development: TensorFlow, PyTorch, Keras
  • Data Analysis: Pandas, NumPy, Scikit-learn
  • Generative AI: ChatGPT, Stable Diffusion, Runway ML
  • Automation: UiPath, Blue Prism, Automation Anywhere
  • APIs: Google AI, AWS AI, Azure AI
    AI Roadmap
  1. Learn Basics: AI concepts, Python, data libraries.
  2. Build Skills: Use AI frameworks, complete small projects.
  3. Specialize: Pick a domain, use specialized tools, apply AI solutions.
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5

Hello,
I’m excited to hear that you’re starting to learn AI!

Although there isn’t an official roadmap, I can share a guide to help you with your learning journey. After completing a course on Machine Learning, you can explore Deep Learning. Once you finish that, you should decide on your area of interest:

  • If you’re interested in text-based tasks like translation, sentiment analysis, or text summarization, you should take an NLP specialization and consider obtaining the TensorFlow Developer Certification.
  • If you’re more inclined towards working with images, such as image segmentation, classification, or recognition, you should focus on courses covering the TensorFlow Developer Certification and advanced TensorFlow techniques.

I recently worked on a small academic project as part of my journey to becoming a UX designer. In it, I proposed a roadmap with courses by DeepLearning.AI. If you’d like, I can share the project with you so you can review it at your own pace and provide feedback. Let me know if you’re interested!

I hope this information helps you on your learning path.