Python for AI: Building AI Projects
Learn Python for AI development with this hands-on course. Build real-world AI applications including chatbots, generative models, image-to-text tools, and intelligent virtual assistants. Learn machine learning, natural language processing, and deep learning techniques to solve real problems.
Last update: Jul 2024
Audio Language: English
Subtitles/Captions: Yes
Type of Training: Online, self-paced
Focus: AI Coding Courses, Python Courses, Generative AI Courses, Programming Courses
Caption Language: English
What Youβll Learn
This Python for AI: Building AI Projects will teach you:
- Python programming fundamentals: Write Python scripts for AI applications
- Generative models: Implement GANs, VAEs, and image generation
- Computer vision techniques: Process and interpret image data
- Deep learning: Develop models for prediction and recognition tasks
- Machine learning techniques: Train and evaluate AI models
- Natural language processing: Create conversational AI and text analysis tools
- AI chatbot integration: Build intelligent messaging bots
- AI project development: Plan, code, and deploy end-to-end projects
Included in the Python for AI
6.5 Hours of On-Demand Video
Access on Mobile
Certificate of Completion
Suitable for the Following Careers
AI Engineer
Software Developer
Data Scientist
Machine Learning Engineer
Python Developer
Computer Vision Specialist
AI Researcher
Course Content
PREVIEW COURSE
Description of TrainingSection 2: Development Environment Setup
Section 3: Introduction To Open-AI GPT API
Section 4: Flask ChatGPT Clone App
Section 5: Flask Text To Image App
Section 6: Streamlit Text To Image App
Section 7: GPT Powered Bots
Section 8: Langchain Apps
Section 9: PDF To Chat App With Langchain
Section 10: Gradio GUI ChatBot
Section 11: J.A.R.V.I.S AI AGI Powered Virtual Assistant
Section 12: GPT Model Fine Tuining
Audio Version of Training
OPEN FULL CURRICULUM
Bonus Lecture - Whats Next?Requirements
Basic computer skills
A computer with at least 4GB RAM
Internet connection for API access
Description of Python for AI: Building AI Projects
This course equips you with everything needed to build advanced AI projects using Python. You'll start by mastering Python programming fundamentals, from writing clean code to leveraging libraries for machine learning and data manipulation. As you progress, you'll develop practical skills in natural language processing, computer vision, and generative AI.
Through hands-on projects, youβll build chatbots, virtual assistants, and image generation tools using popular models and APIs. Each module guides you through coding, testing, and refining your applications to solve real-world problems like recommendation systems, user engagement tools, and smart automation. By combining theoretical foundations with practical implementation, you'll gain expertise to develop and deploy AI-powered solutions confidently.
- Develop AI chatbots and voice assistants for user engagement and automation
- Create image-to-text, text-to-image, and object detection applications
- Implement machine learning algorithms and deep learning models in beginner-friendly projects
- Fine-tune pre-trained models to track economic indicators and user behavior
- Analyze and clean data with minimal human intervention
- Build a virtual library of custom recipe generators powered by AI
- Solve real-world problems and explain concepts clearly through smart tools
By completing this course, youβll be able to build practical AI tools, apply AI-powered techniques, and confidently analyze user behavior with Python. Youβll gain helpful coding skills, understand support vector machines, and master AI chatbot integration to create innovative solutions for real-world challenges.
Who is This Course For
This course is perfect for aspiring AI engineers, data scientists, developers, and tech enthusiasts who want to gain hands-on experience building Python-powered AI applications. Itβs also ideal for professionals aiming to advance their careers in machine learning, automation, or software development.
Course Instructor
Arbaz Khan
Arbaz Khan is a Computer Science Engineer with expertise in IoT, Python, Data Science, and new technologies. Proficient in C, C++, and Java, Arbaz has a passion for automating tasks using Python, particularly in home automation. He runs his own startup, GetSetCode, which focuses on innovative real-time projects involving AI, ML, IoT, Automation, and Robotics.
As an educator, Arbaz has taught various courses covering advanced AI assistants, generative AI applications, practical Python projects, web development, and artistic skill enhancement.
His teaching emphasizes practical, real-world applications, helping students build intelligent systems and master emerging technologies. Arbaz's dedication to education and innovation makes him a valuable resource for anyone looking to advance in the field of computer science and engineering.
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Testimonials
TrαΊ§n I.
Itβs a really good tutorial with projects to practice. It provides learners with a solid foundation to extend their own apps. The code is still a bit simple and not well-structured as a complete project, but learners can refactor it, which can also be considered good practice.
Dave C.
This course made it easy to build AI and machine learning projects like a conversational AI chatbot and a recommendation system. The hands-on lessons using Python programming fundamentals, machine learning algorithms, and real-time image data showed me how to create AI-powered tools for enhancing user engagement. I even learned how concepts like self-driving cars and ethnicity detection models work in computer science.
Alice V.
Excellent learning platform for beginners in AI development! I loved practicing deep learning, natural language processing models, and computer vision techniques. The examples and project ideas were clear and gave me the confidence to create my own AI-powered tools and analyze real-world data.
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