DeepSeek, Gemini, ChatGPT Apps: Creating AI Apps

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.

What's inside

Learning objectives

Master chatgpt integration to build ai-powered applications & ai agents
Deepseek locally and api integration
Deepseek via ollama and huggingface
Deepseek & openai's api
Gemini 2 flash & more
Create personalized ai-driven tools using openai and chatgpt's api
Engineer efficient prompts for custom tasks, boosting coding productivity
Scrape and analyze data from social media platforms like twitter & linkedin

Leverage openai and langchain for advanced text analysis and conversation
Develop and deploy ai applications with fastapi
Leverage playwright and python asyncio to scrape twitter & linkedin
Harness ai tools for data scraping, document embedding, and database creation
Supercharge your productivity with ai-powered automation
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Master chatgpt integration to build ai-powered applications & ai agents
Deepseek locally and api integration
Deepseek via ollama and huggingface
Deepseek & openai's api
Gemini 2 flash & more
Create personalized ai-driven tools using openai and chatgpt's api
Engineer efficient prompts for custom tasks, boosting coding productivity
Scrape and analyze data from social media platforms like twitter & linkedin
Leverage openai and langchain for advanced text analysis and conversation
Develop and deploy ai applications with fastapi
Leverage playwright and python asyncio to scrape twitter & linkedin
Harness ai tools for data scraping, document embedding, and database creation
Supercharge your productivity with ai-powered automation
Show more
Show less

Syllabus

Introduction

Introduction to the Course

Brief introduction to ChatGPT and its API

Importance of AI-powered applications in today’s landscape

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers ChatGPT, Playwright, and LangChain, which are valuable tools for building AI-powered applications and automating workflows

Explores FastAPI for deploying AI applications, ensuring projects are ready for real-world use and integration

Teaches prompt engineering, which can help learners generate high-quality outputs and save time, boosting productivity in various tasks

Includes a section on creating a GPT-integrated Chrome extension, which is a practical skill for modern web development

Examines DeepSeek, Gemini, and ChatGPT, which are rapidly evolving AI models, so learners should stay updated on the latest versions and capabilities

Requires learners to set up a development environment with Python and API keys, which may require some initial technical setup and configuration

Reviews summary

Building ai apps & agents practically

According to learners, this course offers a practical and hands-on approach to building AI applications and agents using various cutting-edge models like ChatGPT, DeepSeek, and Gemini, along with tools like Playwright and LangChain. Students appreciate the real-world projects and find the content helpful for automating tasks and boosting productivity. While the course covers a broad range of topics and tools, some reviews suggest that keeping up with the rapid pace of AI updates is a constant challenge, and learners might need to supplement the course with further exploration.

Might benefit from some prior coding basics.

"While advertised for beginners, some basic Python knowledge helps tremendously."

"A little bit of programming background makes following the projects much easier."

"The course moves quickly at times; having some prior experience with APIs or Python was beneficial for me."

Keeping pace with rapid AI changes is a challenge.

"AI is moving so fast, it's challenging for any course to stay perfectly current, but this one makes an effort."

"While the course is updated, the speed of development in AI means some parts might feel slightly behind quickly."

"I understand that maintaining a course in this rapidly evolving field is difficult; continuous updates are key."

Helps automate tasks and increase efficiency.

"I've already started using what I learned to automate some of my work tasks."

"The tips on prompt engineering and using AI for coding tasks have definitely boosted my productivity."

"The course gave me practical strategies I could apply immediately to streamline workflows."

Explores various models like ChatGPT, DeepSeek, Gemini.

"I found it very helpful that the course covered different LLMs like DeepSeek and Gemini, not just ChatGPT."

"The inclusion of Playwright and LangChain alongside the AI models provides a comprehensive toolkit."

"It's great to see a course keeping up with new models like DeepSeek and showing how to integrate them."

Course emphasizes building real-world AI applications.

"The hands-on coding and projects are the strongest part of the course for me."

"Building the AI apps step-by-step was incredibly useful and helped solidify my understanding."

"I appreciate the focus on building practical applications that I can actually use."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in DeepSeek, Gemini, ChatGPT Apps: Creating AI Apps | AI Agents with these activities:

Review Python Fundamentals

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Strengthen your Python foundation to better understand the code examples and build your own AI applications.

Browse courses on Python Basics

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Review basic data types (strings, integers, lists, dictionaries).
Practice writing simple functions and control flow statements (if/else, loops).
Work through online Python tutorials or exercises.

Brush up on Web Scraping Basics

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Revisit web scraping concepts to prepare for using Playwright and Python for data extraction.

Browse courses on Web Scraping

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Understand HTML structure and CSS selectors.
Learn about web scraping ethics and best practices.
Explore basic web scraping libraries like Beautiful Soup (optional).

Review 'Automate the Boring Stuff with Python'

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Solidify your Python skills with practical automation examples to prepare for building AI applications.

View Automate the Boring Stuff with Python, 2nd... on Amazon

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Read relevant chapters on web scraping and working with APIs.
Complete the practice projects to reinforce your understanding.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Build a Simple Twitter Sentiment Analyzer

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Apply your knowledge of web scraping, LLMs, and Python to analyze sentiment from Twitter data.

Show steps

Use Playwright to scrape tweets related to a specific topic.
Integrate ChatGPT's API to perform sentiment analysis on the scraped tweets.
Visualize the sentiment distribution using a simple chart.

Document Your AI App Development Journey

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Reinforce your learning by creating a blog post or video series documenting your experience building AI applications.

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Choose a specific AI app you built during the course.
Document the development process, including challenges and solutions.
Share your content on a platform like Medium, YouTube, or your personal website.

Contribute to an Open-Source AI Project

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Deepen your understanding of AI development by contributing to an existing open-source project.

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Find an open-source AI project on GitHub that aligns with your interests.
Identify a bug or feature request you can contribute to.
Submit a pull request with your code or documentation changes.

Read 'Building Applications with Generative AI'

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Expand your knowledge of generative AI and learn advanced techniques for building innovative applications.

View Putting Knowledge to Work on Amazon

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Read the chapters related to the AI models and tools covered in the course.
Experiment with the code examples and adapt them to your own projects.

Career center

Learners who complete DeepSeek, Gemini, ChatGPT Apps: Creating AI Apps | AI Agents will develop knowledge and skills that may be useful to these careers:

AI Application Developer

An AI Application Developer designs, develops, and implements AI-powered applications. This course helps aspiring AI Application Developers by providing hands-on experience with ChatGPT's API, Playwright, and LangChain. The course emphasizes practical AI skills such as prompt engineering and automating web scraping, which are very helpful for developing applications. This course helps one learn the core concepts of ChatGPT and how to use its API to build intelligent applications that respond to user inputs, a key skill for any AI Application Developer. The course's focus on deploying AI apps with FastAPI ensures that the applications are ready for real-world use.

See salaries and explore the career path for AI Application Developer

Prompt Engineer

A Prompt Engineer focuses on crafting effective prompts for large language models to achieve desired outputs. This course directly addresses this skill, dedicating time to engineer efficient prompts for custom tasks. The course is well-suited for anyone interested in this burgeoning field, as it helps one unlock the power of prompt engineering to generate high-quality outputs that save time and enhance productivity. Moreover, the course's exploration of DeepSeek, Gemini, and ChatGPT may broaden a Prompt Engineer's toolkit, enabling them to optimize prompts across different AI models.

See salaries and explore the career path for Prompt Engineer

Content Creator

A Content Creator produces engaging content for various platforms. This course helps Content Creators by equipping them with AI skills to automate tasks, generate ideas, and enhance their productivity. Learning to use ChatGPT's API for content generation and automation can save significant time and effort. The course's focus on prompt engineering may help Content Creators generate high-quality outputs that resonate with their target audience. Moreover, the ability to scrape data from platforms like Twitter and LinkedIn may enable them to stay on top of trends and create more relevant content.

See salaries and explore the career path for Content Creator

AI Consultant

An AI Consultant advises organizations on how to best leverage AI technologies. This course helps prospective AI Consultants gain a practical understanding of AI tools and their applications. The course's coverage of ChatGPT, DeepSeek, and Gemini provides consultants with a broad overview of available AI technologies. The ability to create AI-powered applications, automate tasks, and scrape data may enable AI Consultants to offer tailored solutions to their clients. The course also emphasizes prompt engineering and AI model integration, which are very useful for delivering sound advice.

See salaries and explore the career path for AI Consultant

Automation Engineer

An Automation Engineer specializes in streamlining processes using technology, often involving AI. This course may be useful for those looking to become Automation Engineers, particularly due to its focus on automation with LangChain and AutoGPT. Learning to integrate AI-powered workflows is crucial for seamless performance. The deep dive into web scraping with Playwright and Python, as well as the creation of GPT-integrated extensions, may help Automation Engineers to create more efficient and innovative automation solutions. Furthermore, the prompt engineering aspects covered in the course may help refine the design of automated systems.

See salaries and explore the career path for Automation Engineer

AI Product Manager

An AI Product Manager oversees the development and launch of AI-powered products. This course may be useful for those looking to broaden their understanding of the technical aspects involved in AI product development. The course helps Product Managers gain practical knowledge of AI tools such as ChatGPT, DeepSeek, and Gemini. The ability to create AI applications, engineer prompts, and automate tasks may give Product Managers a clearer understanding of the capabilities and limitations of AI technologies. The course emphasizes real-world impact, which is essential for Product Managers who need to define product strategies and roadmaps.

See salaries and explore the career path for AI Product Manager

Full-Stack Developer

A Full Stack Developer works on both the front-end and back-end of web applications. This course may be useful for Full Stack Developers who want to incorporate AI into their projects. The coverage of ChatGPT's API, Playwright, and LangChain helps developers build intelligent applications and automate tasks. The course's focus on creating GPT-integrated Chrome Extensions and deploying AI apps with FastAPI aligns with the responsibilities of a Full Stack Developer. Moreover, the skills in web scraping and prompt engineering can enhance the functionality and user experience of web applications.

See salaries and explore the career path for Full-Stack Developer

Data Scientist

A Data Scientist analyzes and interprets complex data sets. This course may be useful for Data Scientists looking to expand their skills into AI-powered data solutions. Learning to scrape data from social media platforms like Twitter and LinkedIn using Playwright and Python, as taught in the course, may enable Data Scientists to gather unique datasets for analysis. Furthermore, the course's coverage of LangChain for text analysis and conversation may allow them to extract valuable insights from unstructured text data. The ability to create personalized AI-driven tools using OpenAI and ChatGPT's API may help Data Scientists develop custom solutions for data exploration and modeling.

See salaries and explore the career path for Data Scientist

Software Engineer

A Software Engineer designs, develops, and tests software applications. This course may be useful for Software Engineers seeking to integrate AI tools into their workflows. The course covers a range of AI technologies, including ChatGPT, DeepSeek, and Gemini, which can be used to enhance software applications. The course's emphasis on prompt engineering empowers engineers to optimize interactions with AI models, leading to more efficient and effective code generation. The practical skills in web scraping and automation may further enhance a Software Engineer's ability to create robust and innovative software solutions.

See salaries and explore the career path for Software Engineer

Solutions Architect

A Solutions Architect designs and implements IT solutions that incorporate various technologies. This course may be useful for Solutions Architects who want to integrate AI into their solutions. The course provides knowledge of ChatGPT, DeepSeek, and Gemini, which can be used to enhance IT systems. The ability to create AI-powered applications, engineer prompts, and automate tasks may help Solutions Architects design more efficient and intelligent solutions. The course also discusses the deployment of AI apps with FastAPI, which can guide architectural decisions regarding AI integration.

See salaries and explore the career path for Solutions Architect

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. This course may be useful for those looking to implement AI-driven features into their projects. The course covers AI tools such as ChatGPT, DeepSeek, and Gemini which can be used in machine learning pipelines. The course's focus on deploying AI apps with FastAPI may help Machine Learning Engineers streamline the deployment process. Additionally, the skills gained in prompt engineering and web scraping may enhance the capabilities of machine learning models by providing better data and more refined inputs.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer builds and maintains the infrastructure for data storage and processing. This course may be useful for Data Engineers who need to support AI-driven applications. The course covers web scraping with Playwright and Python, which may help Data Engineers gather data from various sources. The knowledge of LangChain for text analysis and conversation may enable them to process unstructured data more effectively. Additionally, the skills gained in prompt engineering and AI model integration may enhance their ability to optimize data pipelines for AI applications.

See salaries and explore the career path for Data Engineer

Business Analyst

A Business Analyst identifies business needs and proposes solutions using technology. This course may be useful for Business Analysts who want to leverage AI in their recommendations. The course provides insights into ChatGPT, DeepSeek, and Gemini, which can be used to automate tasks and improve business processes. The ability to create AI-powered applications and engineer prompts may help Business Analysts demonstrate the potential benefits of AI to stakeholders. The course emphasizes real-world impact, which is essential for Business Analysts who need to quantify the value of their proposed solutions.

See salaries and explore the career path for Business Analyst

Technical Writer

A Technical Writer creates documentation for software and technical products. This course may be useful for Technical Writers who need to document AI-related technologies. The course provides a practical understanding of ChatGPT's API, Playwright, and LangChain, which can help Technical Writers create accurate and informative documentation. The hands-on experience with building AI-powered applications may allow the Technical Writer to explain the functionalities and use cases of these technologies more effectively. Furthermore, the course's coverage of prompt engineering and web scraping may provide valuable context for documenting AI-driven processes.

See salaries and explore the career path for Technical Writer

AI Research Scientist

An AI Research Scientist conducts research to advance the field of artificial intelligence. Many such positions require a Master's degree or a doctorate. This course may be useful for aspiring AI Research Scientists by providing a practical understanding of AI tools and techniques. DeepSeek and Gemini are touched upon in this course. The course's coverage of prompt engineering and AI model integration may foster innovative approaches to research challenges. The hands-on experience with building AI-powered applications may also enable scientists to validate their research findings in real-world scenarios.

See salaries and explore the career path for AI Research Scientist

DeepSeek, Gemini, ChatGPT Apps

Creating AI Apps | AI Agents

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Building ai apps & agents practically

Activities

Career center

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