Generative AI for NodeJs: OpenAI, LangChain

It's time to add AI to your JavaScript/TypeScript app.

AI for NodeJs devs with OpenAI and LangChain is an advanced course designed to empower developers with the knowledge and skills to integrate artificial intelligence (AI) capabilities into Node.js applications. This course is tailored for developers who are proficient in Node.js and wish to explore the fascinating realm of AI-driven solutions.

Throughout the course, participants will delve into various AI concepts, algorithms, and frameworks, focusing on their practical implementation within Node.js environments.

Key topics covered in this course include:

Introduction to AI and its applications in Node.js
OpenAI setup for basic apps
Understanding models, tokens and roles
OpenAI request parameters

Practice apps:

ChatGPT clone in the console
App features: history, context and token limit
OpenAI tools app
OpenAI tools parameters
Generative AI with tools

Key topics for AI development:

Embeddings - presentation, persistence, load
Similarity search using cosine or dot product

Vector databases:

Introduction and setup
ChromaDB setup
Building a ChromaDB server with Docker
Building a ChromaDB client with NodeJS
Pinecone Vector database setup
Pinecone indexes and index operations
Building apps backed by Pinecone
Generative AI with Pinecone

Dedicated section for LangChain, the most popular LLM apps wrapper:

LangChain introduction and setup
LangChain prompt templates
LangChain output parsers
Building RAG applications with LangChain
Web and file LangChain loaders
Generative AI with LangChain

What if you want to run the AI models yourself on your own machine? This is possible with open source models.

We will explore Hugging face and it's APIs and open source models for local LLM apps:

Local embeddings
Translation models
Text models
Voice models
Image models

Since all the used libraries are build with TypeScript and offer great TS support, the course also contains a TypeScript recap section:

TypeScript type aliases
The TypeScript compiler
Functions, special types, any and unknown
Enums and the never type
TypeScript generics
TypeScript classes
...and many more features.

Course advantages:

Beyond the basics - after finish, you can directly use this knowledge into production code
Practical knowledge - presentations are kept to a minimum, we focus on what is really important
Logical and flexible structure - take the course at your own pace
Fast paced, concise, most typing cut out - focus on explanations - respect for your time
Big font, dark background, full HD content, this way it is readable even on a small screen or even tablet.
Lifetime access
Certificate of completion to present to your current or prospective employer
Q&A active instructor

Go beyond the theory and learn from an active instructor, aligned with today's programming demands.

Whether you're a seasoned NodeJs developer looking to expand your skill set or a newcomer interested in harnessing the power of AI, AI for NodeJS offers an exciting journey into the intersection of artificial intelligence and modern web development. Enroll and unlock the potential to create intelligent, cutting-edge applications with NodeJs.

What's inside

Learning objectives

Integrate openai apis in javascript and typescript applications. use text, speech and image modes
Use langchain, pinecone, and openai to build llm-powered applications.
Translate and transcribe audio files using open source models in nodejs apps
Learn the basics of ai with openai and chatgpt: build a console chat app with nodejs
Integrate tools and functions into your openai apps and chat with real-time data

Master crucial ai topics like embeddings, similarity and vector databases
Use chromadb as a local db for your embeddings and run special queries
Use pinecone as serverless db and run special embeddings queries. use indexes and run similarity searches
Learn about langchain components, llm wrappers, prompt templates, chains, and agents.

Integrate openai apis in javascript and typescript applications. use text, speech and image modes
Use langchain, pinecone, and openai to build llm-powered applications.
Translate and transcribe audio files using open source models in nodejs apps
Learn the basics of ai with openai and chatgpt: build a console chat app with nodejs
Integrate tools and functions into your openai apps and chat with real-time data
Master crucial ai topics like embeddings, similarity and vector databases
Use chromadb as a local db for your embeddings and run special queries
Use pinecone as serverless db and run special embeddings queries. use indexes and run similarity searches
Learn about langchain components, llm wrappers, prompt templates, chains, and agents.

Syllabus

Introduction

How to take this course

Let's connect!

Course experience

Tools setup

Course resources

OpenAI setup and Introduction

Overview of OpenAI APIs and services

Sectio intro

NodeJS setup and api key

Optional: TypeScript setup

Understanding an API call

OpenAI models

Tokens

OpenAI roles

Other OpenAI parameters

Basic chat project

Section intro

Project init

Basic chat build

Context configuration

Optional: VSCode debug

OpenAI token limit

OpenAI tools (functions)

Tool call setup

First tool call

Tool parameters

Practice: flight assistant

Project solution

Other OpenAI models and APIs

Image generation intro with DALLE

Generating images

Editing images

Audio models intro

Whisper - translations and text to speech

Embeddings

Embeddings presentation

OpenAI embeddings

Saving embeddings

Calculating similarity

Analizing similarities

Project: recommandation sysytem

Project sollution

Vector databases

Vector dbs presentation

ChromaDB presentation

ChromaDb installation

ChromaDB Client

ChromaDB Embedding function

Chat with your data: App proposal

Chat app implementation

Pinecone introduction

Pinecone indexes

Pinecone index operations

Pinecone info app

LangChain

What is LangChain

LangChain setup

First LangChain application

LangChain promp templates

LangChain output parsers

RAG app presentation

Basic RAG appication

LangChain Web Loader

LangChain PDF Loader

LangChain and ChromaDB

Escape from OpenAI - other AI models

What is Huggingface

Huggingface setup and embeddings

Huggingface translation models

Huggingface image generation

Local model setup

Local text generation and speech recognition

Ending section

Course conclussions

TypeScript recap

What is TypeScript

Installation and project init

Compiler options

Primary JavaScript types

Observe primary types - exercise

Type aliases

Functions

Any and unknown

Enums

Never

TypeScript classes

Access modifiers

Interfaces

Generics

Special types

Async functions

Promises

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a comprehensive beginner-friendly introduction to fundamental AI concepts and OpenAI applications in Node.js, catering to Node.js developers with no prior AI experience

Helps learners unlock the potential of AI for cutting-edge Node.js applications

Covers the latest OpenAI APIs, services, and tools, with a focus on the rapid development of practical AI-driven solutions in Node.js environments

Provides real-world examples, practice apps, and exercises throughout the course to reinforce understanding and ensure practical implementation skills

Taught by experienced AI experts, providing learners with access to specialized knowledge and hands-on guidance

Covers an extensive range of topics including embeddings, vector databases, and LangChain, empowering learners to explore diverse AI technologies and their applications

Emphasizes practical implementation, with a focus on building skills for immediate application in real-world scenarios

Includes industry-standard practices and tools, such as Docker, ChromaDB, Pinecone, and OpenAI, enhancing learner marketability and relevance in the job market

Suitable for both seasoned Node.js developers seeking to expand their AI knowledge and newcomers interested in harnessing the power of AI

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 Generative AI for NodeJs: OpenAI, LangChain - TypeScript with these activities:

Review fundamentals of natural language processing

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A solid understanding of NLP fundamentals will enhance your ability to use the OpenAI API effectively.

Browse courses on Natural Language Processing

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Review textbooks or online resources on NLP concepts
Complete practice exercises or quizzes to test your understanding

Review NumPy library and arrays

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Reviewing NumPy's capabilities will help lay a foundation for other tools used in this course.

Browse courses on NumPy

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Review NumPy documentation for arrays and core functionality
Complete a few tutorials on NumPy arrays
Practice creating and manipulating arrays using NumPy

Gather resources on best practices for using OpenAI API

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Having a collection of resources will provide a valuable reference for using the OpenAI API effectively.

Browse courses on OpenAI API

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Search for articles, tutorials, and documentation on best practices for using the OpenAI API
Organize the resources into a central location

Five other activities

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Follow tutorials for using OpenAI API

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These tutorials will provide a guided approach to using the OpenAI API and will help you understand its capabilities.

Browse courses on OpenAI API

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Identify tutorials that cover the basics of the OpenAI API
Follow the tutorials step-by-step
Experiment with the API using sample code and examples

Practice using OpenAI API for text generation

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Regular practice will help you develop proficiency in using the OpenAI API for text generation tasks.

Browse courses on OpenAI API

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Set up a development environment with the OpenAI API
Write code to generate text using the API
Experiment with different parameters and prompts
Analyze the generated text for quality and relevance

Build a simple chatbot using OpenAI API

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Building a chatbot will allow you to apply your skills and knowledge in a practical setting.

Browse courses on Chatbot Development

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Design the chatbot's functionality and user interface
Implement the chatbot's logic using the OpenAI API
Test and refine the chatbot's performance

Participate in a hackathon or competition that involves using the OpenAI API

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Participating in a competition will challenge you to push your skills and knowledge to the limit.

Browse courses on OpenAI API

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Identify a hackathon or competition that aligns with your interests
Form a team or work individually
Develop a project that showcases your skills in using the OpenAI API
Submit your project and compete for prizes and recognition

Contribute to an open-source project that uses the OpenAI API

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Contributing to an open-source project will allow you to collaborate with others and make a meaningful contribution to the community.

Browse courses on OpenAI API

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Identify an open-source project that uses the OpenAI API
Review the project's documentation and codebase
Identify areas where you can contribute
Submit a pull request with your contributions

Career center

Learners who complete Generative AI for NodeJs: OpenAI, LangChain - TypeScript will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models to solve real-world problems. They use their knowledge of machine learning algorithms, data analysis, and software engineering to build models that can learn from data and make predictions. This course is especially relevant to Machine Learning Engineers as it provides a comprehensive overview of the fundamental concepts of machine learning, including supervised learning, unsupervised learning, and deep learning. You will also gain hands-on experience with machine learning tools and techniques through practical coding exercises.

See salaries and explore the career path for Machine Learning Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineers are responsible for designing, developing, and maintaining artificial intelligence systems. They work on a variety of projects, from developing self-driving cars to creating AI-powered chatbots. This course can be useful for those interested in a career as an Artificial Intelligence Engineer as it provides a solid foundation in the core concepts of AI, including machine learning, natural language processing, and computer vision. You will also gain experience with AI tools and techniques through hands-on coding exercises.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Scientist

Data Scientists use a diverse set of skills, including programming, statistical modeling, and artificial intelligence, to transform raw data into reliable and actionable insights. If you are looking to begin your career in Data Science, this course will provide you with an excellent introduction to some of the foundational skills that you will likely use on the job. Through real-world examples and coding exercises, the course will guide you through the process of gathering, cleaning, and analyzing data using Python. It will help you build a solid foundation in data science principles and techniques, making it easier for you to succeed in this exciting field.

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Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use their skills in statistics, programming, and data visualization to identify trends and patterns in data. This course may be useful for aspiring Data Analysts as it provides a strong foundation in data analysis techniques, including data cleaning, data exploration, and data visualization. You will also gain experience with data analysis tools and techniques through hands-on coding exercises.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages, software engineering principles, and algorithms to create software that meets the needs of users. This course may be useful for those interested in a career as a Software Engineer as it provides a strong foundation in software engineering principles and practices. You will also gain experience with software engineering tools and techniques through hands-on coding exercises.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts help businesses understand their data and make better decisions. They use their skills in data analysis, business process modeling, and communication to identify opportunities for improvement. This course may be useful for aspiring Business Analysts as it provides a strong foundation in data analysis techniques and business process modeling. You will also gain experience with data analysis tools and techniques through hands-on coding exercises.

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Product Manager

Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to create products that meet the needs of users. This course may be useful for aspiring Product Managers as it provides a strong foundation in product management principles and practices. You will also gain experience with product management tools and techniques through hands-on exercises.

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Project Manager

Project Managers plan, execute, and close projects. They work with stakeholders to define project goals, develop project plans, and track project progress. This course may be useful for aspiring Project Managers as it provides a strong foundation in project management principles and practices. You will also gain experience with project management tools and techniques through hands-on exercises.

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Quality Assurance Analyst

Quality Assurance Analysts test software to ensure that it meets the requirements of users. They use their skills in testing techniques, software engineering, and communication to identify and fix bugs. This course may be useful for aspiring Quality Assurance Analysts as it provides a strong foundation in software testing principles and practices. You will also gain experience with software testing tools and techniques through hands-on exercises.

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Technical Writer

Technical Writers create documentation for software, hardware, and other technical products. They use their skills in writing, editing, and communication to create documentation that is clear, concise, and accurate. This course may be useful for aspiring Technical Writers as it provides a strong foundation in technical writing principles and practices. You will also gain experience with technical writing tools and techniques through hands-on exercises.

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User Experience Designer

User Experience Designers create products that are easy to use and enjoyable. They use their skills in human-computer interaction, design, and prototyping to create products that meet the needs of users. This course may be useful for aspiring User Experience Designers as it provides a strong foundation in user experience design principles and practices. You will also gain experience with user experience design tools and techniques through hands-on exercises.

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Data Engineer

Data Engineers build and maintain the infrastructure that stores and processes data. They use their skills in software engineering, data management, and cloud computing to create data systems that are scalable, reliable, and secure. This course may be useful for aspiring Data Engineers as it provides a strong foundation in data engineering principles and practices. You will also gain experience with data engineering tools and techniques through hands-on exercises.

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Database Administrator

Database Administrators manage and maintain databases. They use their skills in database management, SQL, and performance tuning to keep databases running smoothly. This course may be useful for aspiring Database Administrators as it provides a strong foundation in database administration principles and practices. You will also gain experience with database administration tools and techniques through hands-on exercises.

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Cloud Architect

Cloud Architects design and implement cloud computing solutions. They use their skills in cloud computing, software engineering, and networking to create cloud solutions that are scalable, reliable, and secure. This course may be useful for aspiring Cloud Architects as it provides a strong foundation in cloud computing principles and practices. You will also gain experience with cloud computing tools and techniques through hands-on exercises.

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DevOps Engineer

DevOps Engineers bridge the gap between development and operations teams. They use their skills in software engineering, systems administration, and automation to create and maintain software systems that are reliable, scalable, and secure. This course may be useful for aspiring DevOps Engineers as it provides a strong foundation in DevOps principles and practices. You will also gain experience with DevOps tools and techniques through hands-on exercises.

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