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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

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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

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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.

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Instructor Details

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

4.3

646 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

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

Showing all 10 reviews on CourseDuck

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Overall Score : 86 / 100