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AI Tools Course

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What will I learn?

ኣብ ብዝነስ ኢንተለጀንስ ሓይሊ ተኽኖሎጂ ኣእምሮ (AI) ብትምህርቲ መሳርሒታት ተኽኖሎጂ ኣእምሮ (AI) ተረድእ። ናብ ምምልካት ዳታ (data acquisition) ብምእታው፡ ናይ ምጽራይ ስልቲታት ብምልላይ፡ ከምኡ’ውን ህዝባዊ ዳታ ሰት (public datasets) ብምርካብ ክእለትካ ኣመሓይሽ። ንቡርን ምትዕርራይን ዳታ (normalize and encode data) ከመይ ጌርካ ከም እትሰርሕ ብምልላይ፡ ቁልፊ መለክዒታት ንግዲ ተረዳእ። ከም PyTorch፡ TensorFlow፡ ከምኡ’ውን Scikit-learn ዝኣመሰሉ ቅርጻት ተኽኖሎጂ ኣእምሮ (AI frameworks) ዳህስስ። ኣብ ምህናጽ ሞዴላት ተመላሲ (regression)፡ ሞዴላት ምጥርናፍ (clustering)፡ ከምኡ’ውን ሞዴላት ምምዳብ (classification) ክእለትካ ኣመሓይሽ። ኣብ ስልጠና ሞዴል (model training)፡ ገምጋምን (evaluation)፡ ምምሕያሽ ልክነትን (improving accuracy) ብዝለዓለ ክእለት ተጠቀም። ንዳታ ናብ ተግባራዊ ኣተሓሳስባ ንምቕያር ሕጂ ተጸምበሩና።

Apoia's Unique Features

Unlimited access to courses for life
Certification aligned with educational standards
Printable PDF summaries
Always-available online support
Select and arrange the chapters you want to study
Customize your course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Enhance your practical skills outlined below

ምጽራይ ዳታ ብምስራሕ ክእለትካ ኣመሓይሽ: ውጽኢታዊ ናይ ምጽራይ ስልቲታት ብምጥቃም ጥራት ዳታ ኣመሓይሽ።

ቅርጻት ተኽኖሎጂ ኣእምሮ (AI frameworks) ተጠቐም: ኣብ PyTorch፡ TensorFlow፡ ከምኡ’ውን Scikit-learn ብዝለዓለ ክእለት ተጠቀም።

ሞዴላት ተኽኖሎጂ ኣእምሮ (AI models) ኣማዕብል: ሞዴላት ተመላሲ (regression)፡ ሞዴላት ምጥርናፍ (clustering)፡ ከምኡ’ውን ሞዴላት ምምዳብ (classification) ህነጽ።

ኣተሓሳስባታት ኣውጽእ: ብዝግባእ ትንተናን ሓጺር መግለጽን ኣተሓሳስባታት ብዝነስ ኢንተለጀንስ ኣውጽእ።

ኣፈጻጽማ ሞዴል ኣመሓይሽ: ንልዑል ልክነት ሞዴላት ኣሰልጥንን ገምግምን።

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change chapters and workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.