Python for Beginners + Generative AI & Claude Practice Test (Udemy.com)
Learn Python, LLMs, Prompt Engineering, RAG, LangChain + Claude Certified Architect Foundations Practice Test
Created by: Arul Benjamin Chandru Ebenezer Vedanayagam
Last updated April 2026
What you will learn
- Beginners who dont code in their entire life time
- People who are in non tech role willing to look for technical opportunities
- People who have keen interest on learning Gen AI
- Understand how Gen AI industry works by creating real time applications
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.3 out of 5higher than 20% of them
- Reviews646#518 of 1,183 by number of reviews
- Length28.3 hourslonger than 93% of them
- Last updatedApril 2026more recently than 71% of them
Course Description
Learn Python Programming + Generative AI + Claude Certified Architect Foundations Practice Test in one complete, beginner-friendly course designed for real-world application.
This course is built for absolute beginners, developers, and aspiring AI professionals who want to move from basics to building real AI-powered applications. You will not only learn Python and Generative AI concepts, but also gain hands-on experience with modern tools and practice certification-level questions.
What Makes This Course Unique
Learn Python from scratch with simple, storytelling-based teaching
Build real-world Generative AI applications using LLMs
Practice with Claude Certified Architect – Foundations exam-style questions
Work with tools like ChatGPT, Claude, and Gemini
Hands-on learning with Google Colab, LangChain, and vector databases
Focus on practical implementation, not just theory
What You Will Learn
Python Fundamentals (Beginner to Intermediate)
Python basics, syntax, and environment setup
Variables, data types, input/output
Control structures (if/else, loops)
Lists, sets, tuples, dictionaries
Functions, modules, and file handling
Hands-on coding exercises using Google Colab
Generative AI & Large Language Models (LLMs)
Introduction to Generative AI and its real-world use cases
Understanding LLMs and how they work
Comparing outputs from leading AI tools
Text generation and AI-assisted coding
Prompt engineering fundamentals
Advanced AI Concepts
Retrieval Augmented Generation (RAG)
Embeddings and vector databases (ChromaDB, Qdrant)
Running open-source LLMs locally using Ollama & LM Studio
Building AI-powered workflows and applications
Hands-on AI Projects
Build a RAG-based Question Answering system
Create AI-generated web applications
Work with frameworks like LangChain and LlamaIndex
Apply Python skills to real-world AI use cases
Claude Certified Architect – Foundations Practice Test
Practice real exam-style questions
Scenario-based learning to strengthen concepts
Improve confidence for Claude certification
Understand AI architecture fundamentals
Course Structure
Python Fundamentals (Lectures 1–10)
Generative AI Basics (Lectures 11–13)
Advanced AI Concepts & Projects (Lectures 14–16)
Bonus: Claude Practice Test + Python Coding Exercises
Who This Course is For
Beginners starting with Python and AI
Developers exploring Generative AI and LLMs
Professionals preparing for Claude Architect Certification
Anyone who wants to build real AI projects using Python
Keywords Covered
Python for AI, Generative AI, LLMs, Prompt Engineering, LangChain, RAG pipeline, AI projects, Claude AI, Claude certification, ChatGPT, Gemini AI, AI coding, Python bootcamp
By the End of This Course
You will be able to:
Write Python programs confidently
Build AI-powered applications using LLMs
Work with tools like Claude and ChatGPT
Implement RAG pipelines with vector databases
Attempt Claude Certified Architect – Foundations exam with confidence
This course gives you a complete foundation in Python and Generative AI, along with the practical skills needed to build modern AI applications and prepare for certification.
Instructor Details
- 4.3 Rating
646 Reviews
Arul Benjamin Chandru Ebenezer Vedanayagam
I have over 12 years of rich experience in the tech industry, dedicated to delivering efficient and innovative solutions that meet the complex needs of our clients. Throughout my career, I have honed my expertise in Data Engineering, with a particular focus on leveraging the capabilities of Azure and AWS. This specialization allows me to design and implement robust, scalable data systems that not only drive business success but also enhance operational efficiencies and decision-making processes.
My journey in the tech world has been marked by a continuous quest for knowledge and improvement. I am deeply passionate about the transformative power of watsonX Generative AI, a cutting-edge platform that enables the creation of AI-powered content and experiences. My enthusiasm for AI extends to various advanced technologies such as Generative AI, Retrieval-Augmented Generation (RAG), LlamaIndex, and Langchain. These technologies empower me to craft sophisticated AI solutions that are tailored to address specific business challenges, thereby providing our clients with a competitive edge in their respective industries.
My proficiency spans a wide range of technologies, including Java, Microservices, Mainframe Modernization, JCL, COBOL, DB2, VSAM, CICS, Spring Boot, HTML, CSS, and JavaScript. This diverse skill set enables me to tackle various technical challenges and deliver comprehensive solutions that are both innovative and effective.
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Reviews
By VONTELA VYSHNAVI VONTELA VYSHNAVI on 8/18/2026
The answers are clear, relevant, and easy to understand. The examples help explain how Generative AI can be used in a Task Manager. It could be improved by adding a few more practical examples and explaining how the AI would handle incorrect or uncertain suggestions.”
By Sudharsan S on 8/17/2026
What went well: The activity clearly explained the concept of a Personal AI-Driven Task Manager and helped me understand how AI can be used to prioritize tasks. The questions were practical and encouraged me to think about AI limitations, reliability, and user control. What could be improved: More real-world examples and hands-on activities could be included. It would also be helpful to provide a small example of how an AI model prioritizes tasks based on deadlines, urgency, and user preferences.
By Rahul Chauhan on 6/22/2026
It helped me a lot, and it was very well explained and informative. I gained a lot of knowledge from this course.
By Martijn Spiegels on 10/26/2025
it wasn't what i expected and the content was very boring
By Sushma S on 7/6/2025
its very useful , im learning each and every point, he s explaining in a very clear manner, i hope i find his more classes on different topics of AI, Gen AI,ML .
By Dhyan Kumar on 7/5/2025
very informative and basic level of learning about how chatgpt or generative ai works in a basic beginner level
By Himanshu on 7/2/2025
Very descriptive and well explained LLM and Model concepts and the aim of this course.
By Poonam Wasnik on 6/25/2025
The teaching methodology is really good. The concepts are explained in very basic and understandable manner.
By Debmalyo Barman on 3/31/2025
If you're a beginner aiming to learn Python and gain an introduction to Generative AI, this course appears to be a suitable match. The combination of theoretical knowledge and practical projects can equip you with foundational skills in these areas.
By Susovan Bhandary on 3/25/2025
It is very essential and needfull for our next time jobs or interviews to introduce ourself
Quality Score
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Overall Score : 86 / 100






