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Development of Autonomous AI Agents: AG-UI Frontend, ADK Agents and A2A Communications, MCP

From 75 C$ /h

Introduction: Master AI Agent Development from A to Z
This intensive course immerses you in the heart of developing modern, autonomous, and communicative Artificial Intelligence Agents. You will learn to build sophisticated agent systems capable of cooperating, using external tools, and interacting via dedicated user interfaces. It's the ideal training to progress from simple AI scripting to the complete architecture of intelligent agents.

What you will learn:
Frontend Agent (AG-UI): Create a dynamic and intuitive user interface specifically designed to interact with and view the status of your AI agents.

Agent Architecture (ADK): Master the Agent Development Kit (ADK) to structure, program and deploy your agents, giving them autonomy and decision-making capabilities.

Agent-to-Agent (A2A) Communication: Implement secure and efficient communication protocols to enable your agents to collaborate, share information, and form intelligent teams.

Tool Consumption (MCP): Learn how to connect your agents to the Multi-Capability Platform (MCP) so they can interact with external tools, services, and APIs, extending their capabilities beyond their internal code.

Who should attend ?
Software developers and engineers wishing to specialize in AI agent architectures.

AI architects seeking to understand and implement complex multi-agent systems.

Anyone passionate about AI and eager to build autonomous agent applications.

Prerequisite:
Basic knowledge of Python (recommended).

OPTIONAL (Adaptation): If you are a beginner in Python, the course will be adapted to include the basics of the language through the practical implementation of ADK concepts. You will learn Python by building your first agents!

Course Format:
The course combines essential theory and intensive practice with exercises and a final project to build a complete agent system.

Location

Use Ctrl + wheel to zoom!

At student's location :

Around Montreal, 10, Canada

Online from Canada

About Me

I have been working in IT for 25 years, Oracle and Google Cloud specialist, Python and Node developer (Java in the past). Computer science is a passion since I was 15 years old, and I'm 50 years old. Married and father of a daughter.
I like to transmit my passion.
Today I am specialized in data engineering and I have been practicing Machine/Deep Learning (Python) for 5 years. I developed several complete software used by companies: an ERP for the horticulture sector, a SSO solution for an Oracle product with OpenID, SAML, Kerberos support.

Education

University degree in Industrial Computing, obtained in 1993 in Lyon (France), completed by a year in telecom network at the University of Nice in 1994. Various trainings throughout my professional years : Management, Security, Oracle trainings, Machine Learning, Deep Learning.

Experience / Qualifications

Oracle: 25 years old, certified professional architect on Oracle Cloud
Google Cloud: Certified Data Engineer
Machine Learning/Deep Learning: 5 years
Java: 20 years
Python: 11 years
Node: 10 years

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

French

English

Skills

Python

Reviews

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

WebCraft 101: Forge Your Way in the World of Web Programming

58 C$ /h

Are you ready to dive into the exciting world of building modern web applications, even if you've never heard of JSON, HTTP requests, or all that seemingly cryptic terminology? Then you are in the right place! Our course is specially designed for beginners, and you will be guided step by step through the exciting world of web programming.

Imagine creating your own web application, whether it's a personal project or a revolutionary idea you want to share with the world. You'll discover the "Frontend", where the visual magic happens, and the "Backend", the brains of the application that ensures everything works as expected. We'll explain databases, those magic boxes that store information, and show you how to make them interact with your application.

You will also be introduced to the art of creating a solid infrastructure to host your application on the Internet, allowing users to join it from anywhere, at any time. And don't worry, we'll teach you everything about HTTPS requests, these secure communication channels, and load balancers, which guarantee a smooth user experience.

Prepare for an exciting journey into the world of web programming, even starting from scratch. Join us to master the essential skills that will help you bring your ideas to life on the modern web. 💡🌐🚀

Support or initiation course on programming

54 C$ /h

I've been developing since I was 15, and coding has always been at the heart of my career. Initially, Java was my language of choice. Now I use Python and Nodejs. I developed a complete product which was sold to companies in order to offer Single Sign-On (SSO) to an Oracle product supporting OpenID, SAML and Kerberos. I developed in Node.js.

Adam

4.81

(26)

Learning to program is not just about writing code. It's about learning to analyze a problem, construct a line of reasoning, and develop effective solutions.

For over 35 years, I have been supporting university students, engineering school students and adults retraining in learning computer science and programming.

Whether you are a beginner or preparing for an exam, a university project or a technical interview, I adapt to your level and your objectives.

Subjects taught
Python
Java
SQL and databases
Algorithmic
Data structures
Object-oriented programming (OOP)
Program design and debugging
What we work on together
Understanding fundamental concepts rather than memorizing code.
Develop a problem-solving method.
Correct and improve your programs.
Prepare for practical work, projects and exams.
Acquire good programming practices used in higher education and in business.
A pedagogy based on practice

Each session alternates between explanations, demonstrations, and exercises. We write, test, and debug the code together so that you understand not only how to program, but more importantly, why a solution works.

When it's helpful, I also show you how to use programming assistance tools thoughtfully, including AI-powered assistants. The goal isn't to let AI program for you, but to teach you how to verify, understand, and improve the solutions it provides.

Session Procedure

60-minute session

Ideal for solving a specific problem, understanding a difficult concept, or correcting a program.

90-minute session

Recommended for a university project, a complete refresher course or exam preparation.

My commitment

My goal is for you to gradually become independent. At the end of each session, you should be able to understand your code, explain your choices, and continue your work with greater confidence.

I will be happy to support you in your progress, whatever your starting level.

Amin

4.81

(26)

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Lucas

4.81

(26)

This course aims to provide a solid foundation of programming concepts and techniques, using popular programming languages such as C, C++ or Python. This course is suitable for people who are new to programming or who already have some basic knowledge and want to improve their skills. Whether you want to become a software developer, get into data analysis, or simply learn to code, this course will provide you with the essential knowledge and practical skills needed to succeed.

Python is an essa

Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box.

I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.

This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.

PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices

SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
• Introduction to APIs when relevant
• Python and SQL workflows
• Research and quantitative applications
• Project development from idea to working solution

MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
• Predictive modelling and data mining
• Neural-network foundations

ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making

Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.

My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.

We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.

Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.

Python is an essa

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Contact Ludovic