AI Development Course
What will I learn?
ዓቕሚ ኣእምሮ ሰራሕ (AI) ኣብ ምምዕባል እትጥቀሙሉ ሜላታት ብዛዕባ ዝምልከት ኮርስ እዩ። እዚ ኮርስ ንቴክኖሎጂ ሰብ ሞያታት ዝዓለመ ኮይኑ፡ ኣብ ሞዴል ምልምማድን ምግምጋምን፡ ከምኡ’ውን መስቀላዊ ምርግጋጽ (cross-validation)፡ መረጃ ምምቃል (data splitting)፡ ከም MAEን RMSEን ዝኣመሰሉ ናይ ስራሕ ኣፈጻጽማ መለክዕታት (performance metrics) ክትፈልጡ ይሕግዘኩም። ኣብ ቅድመ-መስርሕ መረጃ ምጽራይ (data preprocessing)፡ ሞዴል ምምሕያሽ (model optimization)፡ ከምኡ'ውን ግዜያዊ ትንበያ (time series forecasting) ብARIMAን LSTMን ክእለትኩም ኣዕብዩ። ብተወሳኺ፡ ብዛዕባ ትንበያታት ሽያጥ (sales prediction)፡ ኣካባብያ መረጃ (data collection)፡ ጽልዋ ስነ-ምግባር (ethical considerations) ዝምልከት ግንዛበ የርህወልኩም። ንተግባራዊ፡ ኣብ ናይ ሓቂ ህይወት ንምጥቃም ዝሕግዝ ጽዑቕ ትምህርቲ ብምውሳድ፡ ተውህቦኹም የዕብዩ።
Apoia's Unique Features
Develop skills
Enhance your practical skills outlined below
ሞዴል ብትኽክል ንምግምጋም መስቀላዊ ምርግጋጽ ተቘጻጸሩ (Master cross-validation for robust model evaluation).
ንጹህ መረዳእታ ንምርካብ ቅድመ-መስርሕ መረጃ ምጽራይ ተግብሩ (Implement data preprocessing for cleaner datasets).
ሞዴል ብ Hyperparameter ምጥዕናይ ኣገባብ ኣመሓይሹ (Optimize models with hyperparameter tuning techniques).
ግዜያዊ ትንበያ ንምትንታን ARIMAን LSTMን ተጠቐሙ (Forecast with ARIMA and LSTM for time series analysis).
ካብ ትንበያታት ሽያጥ ግብራዊ ፍልጠት ኣውጽኡ (Extract actionable insights from sales predictions).
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.