Artificial Intelligence Engineering Course
What will I learn?
Simudzira basa rako reuinjiniya nechidzidzo chedu cheUinjiniya hwe Artificial Intelligence, chakagadzirirwa nyanzvi dzinoda kushandisa AI mukugadzira zvinhu. Dzika mukutora data, manejimendi, uye matekiniki ekugadzirira data, uchinyatsoziva normalization yedata, kuchenesa, uye shanduko. Wongorora mashandisirwo eAI mukugadzira zvinhu, kusanganisira optimization yenzira uye predictive analytics. Wana hunyanzvi muma algorithms ekudzidza emuchina senge neural networks nemiti yezvisarudzo, uye nonongodza hunyanzvi hwako mukuongorora kwemhando, magwaro ehunyanzvi, uye kuitwa kwemhando yeAI uchishandisa Python, TensorFlow, uye scikit-learn.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva shasha pakutora data: Unganidza nekugadzirisa zvinobudirira akasiyana siyana manyuko edata.
Gadzirisa maitiro: Shandisa AI yekuvandudza kugadzirwa kwezvinhu.
Gadzira mishumo inooneka: Gadzira ma visualizations edata akajeka uye ane simba.
Vaka mamodeli eAI: Gadzira mamodeli ekufanotaura uchishandisa TensorFlow nePython.
Ongorora mashandiro: Shandisa metrics kunatsiridza nekuvandudza mhinduro dzeAI.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the 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.