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Since May 2021
Instructor since May 2021
Learn How to Become a Scrum Master by mastering Agile/Scrum Methodologies
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From 22.31 € /h
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As businesses continue to adopt agile methodologies, great Scrum Masters are increasingly in-demand. Many realize that training for this role can result in a rewarding and lucrative career.

Most Scrum Masters start their qualification path with a Certified ScrumMaster® (CSM) class. It’s an excellent way to begin, and you should get trained as a scrum master by attending this course.

After completing this course, students will be able to:
(a) Recognize, define and work with the concepts, advantages, and challenges of the Scrum Framework.
(b) Play the role of the Scrum Master in their organizations and help their organizations adopt the Scrum Framework. (c) Furthermore, students will develop an understating of the other roles in Scrum.
(d) Gain knowledge pertaining to, and the ability to anticipate issues related to the practical implementation of Scrum.
(e) Be armed with the proper tools to address, resolve, and take the lead on Scrum issues in their organizations.
Extra information
Bring your own laptop.
Location
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Online from South Africa
About Me
Hi students, I am an experienced tutor in computer science and python programming. I welcome students who are interested in learning computer science and python programming. As a tutor, I promote learning, spark learner enthusiasm for learning and provide a strong foundation for lifelong learning. I will design my lessons in such a way that it will be easier for students to learn and understand easily. I will provide exercises during the lessons for the student to have practical knowledge of what is being taught.

I had taught in many schools and tertiary institutions and I have the skills and knowledge to teach these courses efficiently. I will teach students with clarity, passion, empathy and sincere enthusiasm, so as to make learners connect to their passion. I am very committed to providing a learning environment that is exciting and the one that empowers both student and tutor. Above all, I treat all my students with the utmost respect, creating an environment where students feel safe to candidly discuss their challenges about the course.
Education
PhD Information Systems, University of South Africa, 2016
Master in Information Technology, University of Pretoria, 2003
Honours BSc Information Systems, University of South Africa, 2000
Experience / Qualifications
Lecturer in various universities in South Africa. Tutor in High school in South Africa. I taught courses like Introduction to Computer Science, Management Information Systems, Python Programming etc.
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
120 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
New York
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Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I specialize in tutoring computer science and information technology. I hold a PhD degree in Information Systems and a postgraduate diploma in education. I want to make python programming much easier for students by offering it. I want to make students to understand python programming as a way to become data scientist. The student will be able to do many exercises during the lessons to enhance the student's ability to understand the programming language.

The course is about introducing learners to python programming. Student swill understand the data science basics, variables assignment in python, functions, Lists, and numpy arrays. The course is to prepare students to be able to further their studies in intermediate python and more advanced topics in python and data science.
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Writing a research proposal is one of the most important tasks facing academics, researchers and postgraduate students. Yet there is a good deal of misinformation and a great lack of guidance about what constitutes a good research proposal and what can be done to maximise one's chances of writing a successful research proposal.

This course recognises the importance of developing an effective research proposal for gaining either a place on a research degree programme or funding to support research projects and set out to explore the main factors that that proposal writers need to attend to in developing successful proposals of their own.

Developing Research Proposals will help readers to understand the context within which their proposal will be read, what the reviewers are looking for and will be influenced by, while also supporting the development of relevant skills through advice and practical activities.

This course will assist postgraduate students dong Honours, Masters and PhD degrees to be able to write good research proposals for their studies.
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1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

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Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

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How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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