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Course detail

Artificial Intelligence

AI concepts, responsible use, model workflows and practical applications for modern careers.

Fees and duration

13th round and summer intake

In-person fee
7,500 ETB
Duration: 3 months
Online fee
7,000 ETB
Duration: 3 months
Live + recordedPart-by-part LMSPayment reviewEvaluation gates

Online classes are live and recorded. In-person learners can choose regular, extension or weekend attendance when available.

What you will learn

Understand AI systems

Use AI tools productively

Build practical AI-enabled workflows

Artificial Intelligence course visual

Course experience

Learn with visual context, projects, practice and guided LMS access.

Each monthly part should combine instructor-led lessons, resources, checklists, practice work and evaluation gates before learners move on.

Artificial Intelligence learning visual 2
Artificial Intelligence learning visual 3

Outline highlights

AI foundations, neural networks and computer vision
Sequence models, NLP, transformers and reinforcement learning
AI assistant or chatbot prototype

Career value

Why Artificial Intelligence matters

13th round ready

Understand, build and use AI systems responsibly in real work.

Artificial Intelligence is the field of building systems that can learn, reason, understand language, interpret images, make recommendations and support human decision-making.

This course connects AI foundations with practical model workflows, generative AI, NLP, computer vision, responsible AI and applied projects.

Learners are guided to use AI as a professional tool, not a shortcut: they learn how to frame problems, evaluate outputs, understand risks and build useful AI-enabled workflows.

Explains the technology behind chatbots, recommendation engines, computer vision, translation and automation.

Builds literacy for a future where nearly every profession uses AI tools.

Connects Python, data science, machine learning, prompt engineering and software development.

Emphasizes responsible use, transparency, evaluation and human-in-the-loop decision making.

Local market

  • AI workflow specialist, AI product assistant, automation consultant or junior AI developer.
  • Help schools, businesses and organizations adopt AI for documentation, support, reporting, tutoring and operations.
  • Build local-language, education, customer-service and productivity prototypes with responsible guardrails.

Global and remote

  • Remote AI operations, prompt/workflow design, AI evaluation and applied ML support.
  • Freelance AI automation, chatbot, assistant and document-workflow projects.
  • Pathway to AI engineer, ML engineer, NLP engineer and AI product roles.

Portfolio projects

  • AI assistant or chatbot prototype
  • Text classification or sentiment analysis
  • Computer vision image classifier
  • Responsible AI workflow for a real organization

አርቴፊሻል ኢንተሊጀንስ: ብልህ ሲስተሞችን መረዳትና መገንባት

13ኛ ዙር እና summer intake

AI ማለት ኮምፒውተሮች የመማር፣ የማመዛዘን፣ ቋንቋን የመረዳት፣ ምስልን የመለየት እና ውሳኔን የመደገፍ ችሎታ እንዲኖራቸው የሚያስችል መስክ ነው።

ዛሬ AI በchatbots፣ recommendation systems፣ translation፣ computer vision፣ health, finance, education እና business automation ውስጥ በስፋት ይጠቀማል።

በMiT የ AI ትምህርት መሰረታዊ ፅንሰ-ሀሳብ፣ ML/DL, NLP, computer vision, generative AI, responsible AI እና deployment በተግባር ያካትታል።

በዘመናዊ ስራዎች ውስጥ AI እንዴት እንደሚጠቅም በግልጽ ያስተምራል።

ሰዎችን የሚያግዙ ብልህ workflow, chatbot እና prototype ለመፍጠር ያግዛል።

Responsible AI እና output evaluation ላይ ትኩረት ያደርጋል።

1

AI ማለት በቀላሉ

AI ማለት ማሽኖች ከዳታ ተምረው ሰውን የሚመስል መረዳት፣ ማመዛዘን፣ መመከር፣ መልስ መስጠት እና ውሳኔን መደገፍ እንዲችሉ ማድረግ ነው።

ChatGPT ያሉ assistant systems, translation tools, recommendation engines, computer vision, speech recognition እና business automation የAI ተግባራዊ ምሳሌዎች ናቸው።

2

በAI ኮርስ የሚሸፈኑ ዋና ክፍሎች

ተማሪዎች AI foundations, machine learning, deep learning, neural networks, natural language processing, computer vision, prompt engineering, generative AI እና AI product thinking ይማራሉ።

ትምህርቱ AIን መጠቀም ብቻ አይደለም፤ AI መልስ እንዴት መፈተሽ እንዳለበት፣ hallucination እንዴት እንደሚታወቅ፣ privacy እና ethics እንዴት እንደሚጠበቅ ያካትታል።

3

AI በስራ እና በቢዝነስ

AI በcustomer support, education, document processing, reporting, marketing, software development, health assistance እና finance operations ውስጥ ስራን ለማፋጠን ይጠቅማል።

ይህ ኮርስ AI workflow specialist, AI product assistant, prompt/workflow designer, junior AI developer እና AI evaluation assistant ወደሚሉ መንገዶች ያዘጋጃል።

የስራ እድሎች

AI Engineer / AI workflow specialistNLP, computer vision and automation assistantRemote AI evaluation and productivity projects

የሚሸፈኑ ዋና ርዕሶች

AI foundations, ML, deep learning and transformersNLP, chatbots, computer vision and generative AIResponsible AI, evaluation and deployment basics

Your instructors

Learn from practitioners who ship production software, campaigns and creative work — then guide your evaluations in the LMS.

Michael Shimels

AI & Machine Learning

Michael Shimels

ML, DL & AI Instructor

Guides machine learning, deep learning and applied AI project tracks.

Curriculum and LMS access

Resources are organized by term, monthly part, week and lesson. Full Stack access opens one part at a time after payment and instructor evaluation.

Back to catalog

Artificial Intelligence — 12-Week Program

  • Month 1 — Foundations, Neural Networks & Computer Vision (Weeks 1-4)
  • Month 2 — Sequence Models, NLP & Reinforcement Learning (Weeks 5-8)

    Unlock after payment or instructor evaluation.

  • Month 3 — Reinforcement Learning, Cutting-Edge AI, MLOps & Capstone (Weeks 9-12)

    Unlock after payment or instructor evaluation.

Delivery modes

In-person regular

Best for students who want structured lab access, instructor support and consistent weekday practice.

In-person extension

Designed for learners who need evening sessions three days per week after work or daytime study.

In-person weekend

A practical option for working learners and university students who need weekend attendance.

Online live plus recorded

Live virtual classes are recorded so students can review lessons, recap missed points and continue studying after class.

Discount review

10% full payment discount

Available for courses longer than three months when tuition is paid in full.

7% multi-course discount

Available when one student registers for two or three courses.

10% university entrance support

Special support for students who did not pass university entrance and are not eligible for remedial placement.

Family full-stack offer

For online Full Stack enrollment, one eligible family member can receive tuition waived under the family offer.

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