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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since January 2021
Instructor since January 2021
Mastering DevOps: From Code to Cloud with CI/CD, Automation, and Scalability
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From 32.49 € /h
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Unlock the power of DevOps and transform the way you build, deploy, and manage software! This comprehensive class is designed for developers, system administrators, and IT professionals who want to bridge the gap between development and operations. Learn how to implement Continuous Integration and Continuous Deployment (CI/CD), automate infrastructure with tools like Terraform and Ansible, and leverage cloud platforms for scalable, resilient systems.

Through hands-on labs, real-world projects, and best practices, you’ll gain the skills to:

Streamline software delivery pipelines.

Automate infrastructure provisioning and configuration.

Monitor and optimize system performance.

Collaborate effectively across teams using DevOps principles.

Deploy and manage applications in cloud environments (AWS, Azure, or GCP).

Whether you're a beginner or looking to refine your expertise, this class will equip you with the tools and knowledge to thrive in the fast-paced world of DevOps.
Location
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Online from Morocco
About Me
Bonjour chère étudiant,
je vous assure une meilleur éducation qui va vous permettre d'acquerir des compétences innovantes dans le domaine du développement des systèmes d'informations et l'informatique en génerale, je suis un jeune développeur ayant des expériences dans le développement et la programmation. Ainsi, des connaisances en ce qui concerne la livraison d'idées l'éducation.
je suis toujours à votre disposition.
Cordialement.
Education
-Master Big data et cloud computing Bac+5
-Licence professionnelle en systèmes d'information et génie logiciel Bac+3
-BTS (Développement des systèmes d'information) Bac+2
Experience / Qualifications
-Développement et conception d'un systèmes d'implémentation du dynamique DNS (Node.js, express.js, React.js, C#).
-Développement et conception d'un systèmes de gestion des employés (système de pointage par empreinte digitale (Opencv python, Raspberry pi), Application web (HTML, JS, CSS, PHP).
-Développement et conception de 2 applications web ecommerce (Front-end: languages natives, Back-end: PHP) et (Front-end: languages natives, Back-end: J2ee).
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Arabic
French
Reviews
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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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).

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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.

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"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).

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Copyright: Who owns an image created by AI?

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Similar classes
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Oussama
Learn to add AI features to your applications using ChatGPT API. Taught by a Full-Stack Engineer who's integrated AI into real client projects.

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ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app
Prompt Engineering: Write effective prompts that give consistent, quality results
Production Implementation: Rate limiting, cost management, error handling, security
Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

Technologies:
OpenAI API (ChatGPT-4)
React/Next.js frontend integration
Node.js/NestJS backend
Secure API key management
Cost optimization (don't waste money on API calls)

Perfect For:
Developers: Add AI to your portfolio (instant differentiation from other candidates)
Freelancers: Offer AI integration services
Students: Build an AI-powered projects that stands out
Entrepreneurs: Add AI features to your product without hiring an AI engineer

What We'll Build:
AI chatbot for your website (customer support, FAQ assistant)
Content generation tool (blog posts, product descriptions, social media)
Text analysis features (summarization, sentiment, keyword extraction)
Custom AI assistant for your specific use case

Real Examples:

E-commerce: AI product description generator
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Marketing: AI social media content creator
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Working code you can deploy immediately
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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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This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity.

The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye.

We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria.

A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission.

The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.
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