New cohort-based AI course by
Jakub “Zaiste” Neander, Michał Miszczyszyn
and awesome Special Guests!

Build 5 non-trivial AI apps in 5 weeks

🇺🇸
Program in English

Certificate

We start the course
on June 3, 2024

The course will launch on June 3, 2024, and by then hundreds of developers will join, specializing in developing AI applications using OpenAI, Mistral AI, Perplexity AI, Anthropic, Krea AI, Vercel AI, Groq and much more!

5 weeks of learning awesome, cutting-edge things together

You learn in a group, not alone. In addition to LIVE sessions and video lessons, you participate daily in discussions, Q&A and knowledge sharing with other developers on private 0to1AI Discord channel.

Jakub, Michał
& Special Guests

We are senior developers with over a decade of commercial experience. We are not marketing specialists, but software engineers with a strong passion for sharing knowledge and building communities around cutting-edge technologies.

Tagline

Oto1AI Program

📅 The course will start on June 3 and end on July 7

Need to talk about it? Call +48 739 038 640 or email 0to1ai@brave.courses 🙂

Week 1

Build AI Chatbot
– Deep Dive

Topics
Setting Up Development Environments for AI Chatbots
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  • 💥 BONUS: b
  • c
Integration of AI SDKs with Developer Platforms
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  • b
  • c
Designing Code Review Integration Flows
  • a
  • b
  • c
Unified AI Model Interaction with LangChain.js
  • a
  • b
  • c
Automating Feedback with AI Services
  • a
  • b
  • c
Advanced Prompt Construction for AI Feedback
  • a
  • b
  • c
Implementing Embeddings for Efficient Search
  • a
  • b
  • c
Customizing Codex AI for Enhanced Application Features
  • a
  • b
  • c
Results
  • Set up a development environment
    Have a solid foundation in setting up development environments tailored for AI chatbot creation.
  • Leverage AI SDKs
    Be skilled in integrating various AI SDKs for effective chatbot functionality across multiple platforms.
  • Design Integration Flows
    Demonstrate the ability to design and implement efficient code review integration flows within Discord and GitHub.
  • Interface with AI Models
    Gain expertise in interfacing with multiple AI models using LangChain.js for comprehensive code analysis.
  • Facilitate AI-Driven Feedback
    Learn to automate sending code for AI review and integrate feedback directly within communication platforms.
  • Construct Advanced Prompts
    Develop the skill to create complex system prompts for detailed AI feedback, enhancing code review quality.
  • Utilize Embeddings for Search
    Understand how to implement search functionalities using embeddings, improving data retrieval based on past interactions.
  • Customize AI for Application Needs
    Acquire the ability to customize and extend AI models, particularly Codex AI, for specific application features, elevating the bot's utility and integration within development workflows.
Projects
An AI code reviewer bot for Discord, Slack, and GitHub
  • Set up and configure development environments using Next.js and Deno for AI chatbot projects.
  • Use AI SDKs for seamless integration with platforms like Discord and GitHub.
  • Design and execute an integration flow for direct code reviews within Discord and GitHub pull requests.
  • Utilize LangChain.js as a unified interface for interacting with various AI models for code analysis.
  • Implement feedback loops, sending code to AI services and posting reviews directly on Discord.
  • Develop a system for constructing detailed prompts, potentially outputting as JSON for precise feedback.
  • Create a search mechanism based on bot interactions, utilizing embeddings for efficient data retrieval.
  • Explore the customization and enhancement of AI models, specifically Codex AI, for tailored application features.
Week 2

Build Your Custom LLM

Topics
Building custom LLM models
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  • 💥 BONUS: b
  • c
Compiling stuff
  • a
  • b
  • c
Deploying models from HuggingFace
  • a
  • b
  • c
NVIDIA Chat RTX
  • a
  • b
  • c
Results
  • Understand LLM Fundamentals
    Acquire a solid understanding of LLM architecture and its capabilities in processing and translating natural language.
  • Build Custom LLMs
    Learn to build a custom LLM tailored to specific tasks, like SQL query generation, from the ground up.
  • Deploy Advanced Models
    Gain practical experience in locally setting up and deploying advanced models like LLama2-70B and Mistral-8x7B.
  • Utilize Hugging Face Effectively
    Master using Hugging Face for model deployment, dataset management, and leveraging community spaces.
  • Implement NVIDIA Technologies
    Understand how to set up and use NVIDIA Chat RTX for real-time model interactions and enhancements.
  • Create a Query Chatbot
    Develop a chatbot that can process natural language queries and extract specific information from large databases, demonstrating a practical application of LLMs in data retrieval and management.
Projects
A simplistic LLM that converts natural language to GraphQL/SQL
  • Develop a foundational understanding of LLMs and their application in translating natural language to code.
  • Create a basic LLM from scratch using Python.
  • For local use, set up and utilize advanced LLMs like LLama2-70B and Mistral-8x7B.
  • Explore Hugging Face's ecosystem for model deployment and dataset management.
  • Use NVIDIA Chat RTX to create a model for local interaction.
  • Specialize in a custom LLM for SQL query generation.
  • Deploy a functional chatbot capable of querying a large database.
Week 3

Visual AI – Storytelling App

Topics
Image Generation with AI Tools
  • a
  • 💥 BONUS: b
  • c
Audio Enhancements in Storytelling
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  • b
  • c
Visual Narratives and Consistency
  • a
  • b
  • c
Speech-to-Text for Content Integration
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  • b
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Text-to-Speech Narration Techniques
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Video Slideshow Production for Stories
  • a
  • b
  • c
Results
  • Master Visual AI Tools
    Gain proficiency in leveraging Midjourney and Dall-E to craft engaging, thematic images tailored to storytelling needs.
  • Enhance Stories with Audio AI
    Learn to utilize audio AI technologies like ElevenLabs and PlayHT to bring stories to life through realistic speech and sound effects.
  • Create Consistent Visual Narratives
    Develop the skill to generate a coherent series of images that visually narrate a story, enhancing the viewer's experience.
  • Integrate Speech-to-Text for Transcription
    Master speech-to-text APIs for accurate transcription, facilitating seamless integration of narrative content.
  • Narrate with Text-to-Speech
    Acquire the ability to convert text into natural-sounding speech, using tools such as ElevenLabs to narrate stories effectively.
  • Produce Narrated Video Slideshows
    Learn to compile images and narrations into a captivating video slideshow, completing the storytelling experience from start to finish.
Projects
A storytelling AI that outputs stories as video (children's stories, RPGs, etc.)
  • Master using visual AI tools (Midjourney, Dall-E) to generate compelling images for storytelling.
  • Utilize audio AI technologies (ElevenLabs, PlayHT) to enhance storytelling.
  • Generate consistent and thematic images for storytelling.
  • Implement speech-to-text APIs for accurate transcription.
  • Craft compelling prompts for AI-driven image creation.
  • Synthesize speech from text to narrate stories.
  • Compile a series of images and narrations into a video slideshow.
Week 4

Vector DBs for knowledge retrieval

Topics
Vector Databases Fundamentals
  • a
  • 💥 BONUS: b
  • c
Introduction to AI databases: Chroma, Picone, Quadrant
  • a
  • b
  • c
Implementing pg_vector in PostgreSQL
  • a
  • b
  • c
Vector-vss Integration in SQLite
  • a
  • b
  • c
On-the-Fly Embeddings with Typesense Search
  • a
  • b
  • c
AI Plugin Development for Zoom meetings
  • a
  • b
  • c
Searchable Knowledge Base Creation
  • a
  • b
  • c
Integrating AI Search with Corporate Wikis
  • a
  • b
  • c
Results
  • Understand Vector Databases
    Gain in-depth knowledge of the workings of vector databases and their role in AI for efficient data management and search.
  • Acquire Advanced AI Integration Skills
    Learn to integrate Chroma, Picone, Quadrant, and OpenAI vector databases into applications, enhancing problem-solving capabilities.
  • Develop AI Plugins for Zoom
    Master the design and implementation of AI plugins for Zoom, enabling automatic transcription, meeting summarization, and searchable knowledge base integration.
  • Implement Searchable Knowledge Bases
    Learn how to create knowledge bases using vector-based search technologies, including pg_vector in PostgreSQL, vector-vss in SQLite, and Typesense for on-the-fly embeddings.
  • Integrate with Corporate Wikis
    Understand how to connect AI-enhanced search with wiki systems like Confluence or Notion, improving knowledge management and accessibility within organizations.
  • Apply AI in Organizational Contexts
    Demonstrate the application of AI to streamline meeting note management and insights retrieval, showcasing AI's impact on workplace efficiency.
Projects
An AI-powered plugin for Zoom that collects and summarizes meeting notes
  • Understand the role of vector databases in AI and knowledge management.
  • Explore the capabilities of Chroma, Picone, and Quadrant for AI applications.
  • Learn to implement pg_vector in PostgreSQL and vector-vss in SQLite for vector-based search.
  • Utilize Typesense to enhance search functionality with on-the-fly embeddings.
  • Develop an AI Zoom plugin that automatically transcribes audio, summarizes, and integrates meeting notes into a searchable knowledge base.
  • Integrate vector-based search with wiki systems for efficient retrieval of past meeting insights.
Week 5

Information aggregation for custom GPTs

Topics
Web Scraping for Data Aggregation
  • a
  • 💥 BONUS: b
  • c
Transcription Downloads from Videos
  • a
  • b
  • c
Automated Data Ingestion with Queues and Cron
  • a
  • b
  • c
Building Up-to-Date Custom GPT Pipelines
  • a
  • b
  • c
Introduction to Custom GPT Creation and - Management
  • a
  • b
  • c
Real-world Applications of Custom GPTs
  • a
  • b
  • c
Results
  • Master Content Aggregation
    Gain proficiency in aggregating relevant information from diverse web sources for data-driven applications.
  • Automate Data Ingestion
    Learn to automate the process of data ingestion and updates, ensuring the AI model remains current with the latest information.
  • Develop Custom GPT Models
    Acquire the skills to develop and maintain custom GPT models tailored for specific needs or topics, like new hire onboarding.
  • Implement Dynamic Information Pipelines
    Understand how to build and manage dynamic pipelines that feed real-time data into AI models for up-to-date outputs.
  • Apply Custom GPTs in Real-world Projects
    Demonstrate the practical application of custom GPTs in projects, showcasing their ability to transform and personalize user experiences.
Projects
An AI-powered onboarding app for new hires
  • Learn to build web scrapers for content aggregation from multiple sources.
  • Utilize tools like youtube-dl for downloading video transcriptions.
  • Set up queues and Cron systems for automated data ingestion and updates.
  • Construct a data pipeline to keep custom GPT models updated with fresh information.
  • Understand the fundamentals of OpenAI's custom GPTs, including creation and application.

Great to have you!

MONEY-BACK GUARANTEE – You have up to 14 days from the start of the course to change your mind

You have the right to cancel within 14 days of the start of the course, which is until June 17th. We will refund 100% of your money within 3 days. No questions asked.

You don't have to pay everything at once

You can pay in 2 parts of 0% installments. The first one is payable immediately, the second one within 14 days after the course starts. We handle the installments ourselves, not through the bank, so they don't affect your credit rating. You can also use PayPo and sign up today and pay in 30 days!

Your employer can pay for the course

Many people choose to finance from the company's budget. Write to 0to1ai@brave.courses if you need a proforma invoice. We offer additional discounts for teams!

This is the LOWEST presale price for our community! Don't miss it! 🙂
290 USD(1150 PLN)
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From April 12 – 390 USD.
You Save 100 USD!
Includes:
5 weeks of learning in the 0to1AI program led by Jakub Neander and Michal Miszczyszyn - starting June 3, 2024.
15 hours of practical studio-quality recordings.
10 hours of LIVE consultations during the weekly live sessions.
Access to recordings for 12 months.
Lifetime access to our Discord community.
Awesome Special Guests! (TBA, stay tuned!)
Capstone project and certificate for the employers.
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