ChatGPT & DeepSeek Apps : Creating AI Apps | AI Agents
What you'll learn
- Master ChatGPT integration to build AI-powered applications & AI Agents
- Create personalized AI-driven tools using ChatGPT's API
- Use DeepSeek locally and API integration
- Leverage OpenAI and Langchain for advanced text analysis and conversation
- Use DeepSeek via Ollama and Huggingface
- DeepSeek & OpenAI's API
- Engineer efficient prompts for custom tasks, boosting coding productivity
- Leverage Playwright and Python asyncio to scrape Twitter & LinkedIn
- Scrape and analyze data from social media platforms like Twitter & LinkedIn
- Gemini 2 Flash & More
- Develop and deploy AI applications with FastAPI
- Harness AI tools for data scraping, document embedding, and database creation
- Supercharge your productivity with AI-powered automation
Requirements
- Basic Python Knowledge
Description
New Updates 3/6/2025
New videos. How to create fully automated Tiktoks/YouTube channel with AI & Automation
New Updates 1/29/2025
New videos with DeepSeek from local use to adapting it to the AI apps
New Updates 1/26/2025
DeepSeek's models and its API will be utilized to create new AI Apps!
Welcome to the ultimate course on building AI-powered applications using ChatGPT’s API, Playwright, and LangChain! Whether you're a busy professional, content creator, aspiring app developer, or experienced coder, this course will equip you with practical AI skills to automate tasks, build apps, and boost your productivity.
In this course, you’ll dive deep into using AI to transform how you develop applications, scrape data, and optimize workflows. I’ll walk you through the entire process, from setting up your development environment to deploying AI-driven apps with real-world impact. No advanced programming skills? No problem! This course is designed for beginners and seasoned developers alike.
What You’ll Learn:
Master ChatGPT Essentials: Learn the core concepts of ChatGPT and how to use its API to build intelligent applications that respond to user inputs.
Engineer Efficient Prompts: Unlock the power of prompt engineering to generate high-quality outputs that save time and enhance productivity.
Web Scraping with Playwright & Python: Learn how to automate web scraping with Playwright and extract data from platforms like Twitter and LinkedIn using Python
Automation with LangChain & AutoGPT: Integrate AI-powered workflows and automation into your applications for seamless performance. Create AI Agents
Create a GPT-integrated Chrome Extension: Learn to create a chrome extension by using OpenAI's API
Deploy AI Apps with Ease: Learn to deploy your apps using FastAPI, ensuring your projects are ready for the real world.
Who Should Take This Course?
Busy professionals seeking to automate workflows and increase efficiency using AI.
Aspiring app developers with little to no programming experience who want to build intuitive AI-driven applications.
Experienced developers looking to enhance productivity and streamline code writing with AI tools.
Non-developers eager to build AI-powered apps without learning complex code, using step-by-step, easy-to-follow instructions.
Why This Course?
This course is packed with hands-on projects, practical insights, and detailed explanations to help you create real-world AI applications. By the end of the course, you will not only have built powerful apps but will also have the knowledge to apply AI in creative and impactful ways.
Let’s dive into the world of AI app development and make the most of these groundbreaking tools!
Who this course is for:
- Busy developers looking to streamline their daily tasks and automate workflows using AI tools like ChatGPT, Playwright, and LangChain.
- Aspiring app developers with limited programming knowledge eager to harness AI power for building intuitive, user-friendly applications using ChatGPT’s API.
- Experienced developers aiming to enhance their productivity by integrating AI into their coding routines, including data scraping and chatbot creation.
Instructor
I have more than 4 years of professional Data Science experience in the industry. I worked full-time and part-time jobs at companies like Otto (an international E-commerce business), and Mercedes. With my projects, I have got selected by Tubitak as a star researcher in my freshman year. On LinkedIn, I have posts with machine learning projects that have received 850.000+ views and 7.000+ likes/comments in the last 2 months. I have 300+ stars on GitHub