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Courses
Building Intelligent Pipelines with LLMs: The Jarvid Blueprint
Register
Introduction
Pre-Requisites
How to Navigate the Course
Modules Overview
Module 1: Mastering Data Ingestion for Scalable AI Pipelines
Lesson 1: Understanding Data Sources
Lesson 2: Setting Up Cloud Storage (AWS S3)
Lesson 3: Building a Data Ingestion Script
Module 1: Assignments and Quizzes
Module 2: Data Pre-Processing
Lesson 1: Text Cleaning and Normalization
Lesson 2: Tokenization
Lesson 3: Managing Large Datasets for Efficient Processing
Practical Project: Jarvid Data Pre-Processing Pipeline
Learning Outcomes
Module 2: Assignments and Quizzes
Module 3: Mastering Embedding Techniques for Scalable AI Pipelines
Lesson 1: Understanding Embeddings
Lesson 2: Generating Embeddings
Lesson 3: Building and Querying a Vector Database
Module 3: Quiz
Module 4: Mastering Retrieval-Augmented Generation (RAG) and Prompt Design
Lesson 1: Understanding RAG
Lesson 2: Integrating FAISS with an LLM API
Lesson 3: Designing Effective Prompts
Module 4: The Quiz
Module 5: Mastering Deployment of AI Pipelines
Lesson 1: Designing APIs for LLM-Based Interactions
Lesson 2: Containerizing Applications with Docker
Lesson 3: Deploying to Production Platforms
Module 5: Quiz
Module 6: Comming Soon
Lesson 1: Testing LLM Responses
Lesson 2: Performance Testing of Vector Searches
Lesson 3: Monitoring and Logging for Deployed Systems
Module 6: Quiz
FAQ
Feedback
AI Essentials for Professionals
Register AI Essentials for Professionals
Introduction AI Essentials for Professionals
How to Navigate AI Essentials for Professionals
Module 1 AI Essentials for Professionals
M1 L1 AI in a Nutshell
M1 L1 Activity
M1 L1 Assignment
M1 L2 “Weak” vs. “Strong” AI
M1 L2 Activity
M1 L2 Assignment
M1 L3 Success Cases with AI
M1 L3 Common AI Limitations
M1 L3 Assignment
Module 1 Quiz
Module 2 Language Models and Practical Differences
M2 L1 What are LLMs?
M2 L1 Assignment
M2 L2 Key Use Cases and Applications
M2 L2 Assignment
M2 L3 Model Selection & Decision Factors
M2 L3 Assignment
Module 2 Quiz
Module 3 In-Depth Prompting
M3 L1 Prompting Best Practices
M3 L1 Assignment
M3 L2 Prompt Chaining
M3 L2 Assignment
M3 L3 Tools for Prompting
M3 L3 Assignment
Module 3 Quiz
Module 4 Process Automation with AI
M4 L1 Identifying Automatable Tasks
M4 L1 Assignment
M4 L2 Integration with Automation Tools
M4 L2 Assignment
M4 L3 Agents and Task Delegation
M4 L3 Assignment
Module 4 Quiz
Module 5 Key AI Tools for Productivity
M5 L1 Exploring the AI Tool Landscape
M5 L1 Assignment
M5 L2 Exploring the AI Tool Landscape
M5 L2 Assignment
M5 L3 - Real Use Cases & Your Personal Productivity Stack
M5 L3 Assignment
Module 5 Quiz
Module 6 AI for Quick Decision-Making and Strategy
M6 L1 How AI Supports Strategic Thinking
M6 L1 Assignment
M6 L2 Building an Insight-to-Action Workflow
M6 L2 Assignment
M6 L3 Communicating AI-Driven Insights to Stakeholders
M6 L3 Assignment
Module 6 Quiz
Module 7: Advanced Use of Tools and Prompting (Higher Level)
M7 L1 Advanced Prompting Techniques
M7 L1 Assignment
M7 L2 Combining Tools for Multi-Layered Outputs
M7 L2 Assignment
M7 L3 Designing and Testing Your AI Assistant (Mini Project)
M7 L3 Assignment
Module 7 Quiz
End of the essentials course
AI Tools
Register AI Tools Course
Introduction AI Tools Course
How to Navigate the AI Tools Course
Module 1: AI Landscape for Software Development
Lesson 1: AI Tools for Faster Coding
Lesson 2: Documentation-First and Vibe Coding (for Flow)
Lesson 3: Key Considerations—Security, Costs, and Ethics
Module 1: Quiz
Module 2: Code Assistants and Advanced Workflows
Lesson 1: Deep Dive into Advanced Code Assistant Tools
Lesson 2: Advanced Techniques — Prompt Engineering, Documentation-First & V
Lesson 3: Benchmarks, Evaluations & Adoption Decisions
Module 2: Quiz
End of the course
AI Tools for Coding
Register AI Tools for Coding Course
Introduction AI Tools for Coding Course
How to Navigate the AI Tools for Coding Course
Module 1: AI Landscape for Coding
Lesson 1: Coding, a brief story
Lesson 2: Current key coding LLMs
Quiz Module 1: AI Landscape for Coding
Module 2: New tools, new workflows
Lesson 1: New generation IDEs
Lesson 2: Modern Techniques
Lesson 3: Recommended Practices
Quiz Module 2: New tools, new workflows
Congrats, end of the course
Home
Onboarding
Structure
Locations
Community
The Howdy Olympics
Philanthropy
Suggestion Box
Team Calendars
Challenges
Team Tools
Benefits
Certification & Learning Allowance benefit
Time Off Request
Partners @ Howdy
Travel Considerations
Dev Guide
Howdy Player Principals
Code of Conduct
Dev Programs
Referrals
Staff Guide
Staff Spirit Value Statement
Courses
Building Intelligent Pipelines with LLMs: The Jarvid Blueprint
Register
Introduction
Pre-Requisites
How to Navigate the Course
Modules Overview
Module 1: Mastering Data Ingestion for Scalable AI Pipelines
Lesson 1: Understanding Data Sources
Lesson 2: Setting Up Cloud Storage (AWS S3)
Lesson 3: Building a Data Ingestion Script
Module 1: Assignments and Quizzes
Module 2: Data Pre-Processing
Lesson 1: Text Cleaning and Normalization
Lesson 2: Tokenization
Lesson 3: Managing Large Datasets for Efficient Processing
Practical Project: Jarvid Data Pre-Processing Pipeline
Learning Outcomes
Module 2: Assignments and Quizzes
Module 3: Mastering Embedding Techniques for Scalable AI Pipelines
Lesson 1: Understanding Embeddings
Lesson 2: Generating Embeddings
Lesson 3: Building and Querying a Vector Database
Module 3: Quiz
Module 4: Mastering Retrieval-Augmented Generation (RAG) and Prompt Design
Lesson 1: Understanding RAG
Lesson 2: Integrating FAISS with an LLM API
Lesson 3: Designing Effective Prompts
Module 4: The Quiz
Module 5: Mastering Deployment of AI Pipelines
Lesson 1: Designing APIs for LLM-Based Interactions
Lesson 2: Containerizing Applications with Docker
Lesson 3: Deploying to Production Platforms
Module 5: Quiz
Module 6: Comming Soon
Lesson 1: Testing LLM Responses
Lesson 2: Performance Testing of Vector Searches
Lesson 3: Monitoring and Logging for Deployed Systems
Module 6: Quiz
FAQ
Feedback
AI Essentials for Professionals
Register AI Essentials for Professionals
Introduction AI Essentials for Professionals
How to Navigate AI Essentials for Professionals
Module 1 AI Essentials for Professionals
M1 L1 AI in a Nutshell
M1 L1 Activity
M1 L1 Assignment
M1 L2 “Weak” vs. “Strong” AI
M1 L2 Activity
M1 L2 Assignment
M1 L3 Success Cases with AI
M1 L3 Common AI Limitations
M1 L3 Assignment
Module 1 Quiz
Module 2 Language Models and Practical Differences
M2 L1 What are LLMs?
M2 L1 Assignment
M2 L2 Key Use Cases and Applications
M2 L2 Assignment
M2 L3 Model Selection & Decision Factors
M2 L3 Assignment
Module 2 Quiz
Module 3 In-Depth Prompting
M3 L1 Prompting Best Practices
M3 L1 Assignment
M3 L2 Prompt Chaining
M3 L2 Assignment
M3 L3 Tools for Prompting
M3 L3 Assignment
Module 3 Quiz
Module 4 Process Automation with AI
M4 L1 Identifying Automatable Tasks
M4 L1 Assignment
M4 L2 Integration with Automation Tools
M4 L2 Assignment
M4 L3 Agents and Task Delegation
M4 L3 Assignment
Module 4 Quiz
Module 5 Key AI Tools for Productivity
M5 L1 Exploring the AI Tool Landscape
M5 L1 Assignment
M5 L2 Exploring the AI Tool Landscape
M5 L2 Assignment
M5 L3 - Real Use Cases & Your Personal Productivity Stack
M5 L3 Assignment
Module 5 Quiz
Module 6 AI for Quick Decision-Making and Strategy
M6 L1 How AI Supports Strategic Thinking
M6 L1 Assignment
M6 L2 Building an Insight-to-Action Workflow
M6 L2 Assignment
M6 L3 Communicating AI-Driven Insights to Stakeholders
M6 L3 Assignment
Module 6 Quiz
Module 7: Advanced Use of Tools and Prompting (Higher Level)
M7 L1 Advanced Prompting Techniques
M7 L1 Assignment
M7 L2 Combining Tools for Multi-Layered Outputs
M7 L2 Assignment
M7 L3 Designing and Testing Your AI Assistant (Mini Project)
M7 L3 Assignment
Module 7 Quiz
End of the essentials course
AI Tools
Register AI Tools Course
Introduction AI Tools Course
How to Navigate the AI Tools Course
Module 1: AI Landscape for Software Development
Lesson 1: AI Tools for Faster Coding
Lesson 2: Documentation-First and Vibe Coding (for Flow)
Lesson 3: Key Considerations—Security, Costs, and Ethics
Module 1: Quiz
Module 2: Code Assistants and Advanced Workflows
Lesson 1: Deep Dive into Advanced Code Assistant Tools
Lesson 2: Advanced Techniques — Prompt Engineering, Documentation-First & V
Lesson 3: Benchmarks, Evaluations & Adoption Decisions
Module 2: Quiz
End of the course
AI Tools for Coding
Register AI Tools for Coding Course
Introduction AI Tools for Coding Course
How to Navigate the AI Tools for Coding Course
Module 1: AI Landscape for Coding
Lesson 1: Coding, a brief story
Lesson 2: Current key coding LLMs
Quiz Module 1: AI Landscape for Coding
Module 2: New tools, new workflows
Lesson 1: New generation IDEs
Lesson 2: Modern Techniques
Lesson 3: Recommended Practices
Quiz Module 2: New tools, new workflows
Congrats, end of the course
More
Home
Onboarding
Structure
Locations
Community
The Howdy Olympics
Philanthropy
Suggestion Box
Team Calendars
Challenges
Team Tools
Benefits
Certification & Learning Allowance benefit
Time Off Request
Partners @ Howdy
Travel Considerations
Dev Guide
Howdy Player Principals
Code of Conduct
Dev Programs
Referrals
Staff Guide
Staff Spirit Value Statement
Courses
Building Intelligent Pipelines with LLMs: The Jarvid Blueprint
Register
Introduction
Pre-Requisites
How to Navigate the Course
Modules Overview
Module 1: Mastering Data Ingestion for Scalable AI Pipelines
Lesson 1: Understanding Data Sources
Lesson 2: Setting Up Cloud Storage (AWS S3)
Lesson 3: Building a Data Ingestion Script
Module 1: Assignments and Quizzes
Module 2: Data Pre-Processing
Lesson 1: Text Cleaning and Normalization
Lesson 2: Tokenization
Lesson 3: Managing Large Datasets for Efficient Processing
Practical Project: Jarvid Data Pre-Processing Pipeline
Learning Outcomes
Module 2: Assignments and Quizzes
Module 3: Mastering Embedding Techniques for Scalable AI Pipelines
Lesson 1: Understanding Embeddings
Lesson 2: Generating Embeddings
Lesson 3: Building and Querying a Vector Database
Module 3: Quiz
Module 4: Mastering Retrieval-Augmented Generation (RAG) and Prompt Design
Lesson 1: Understanding RAG
Lesson 2: Integrating FAISS with an LLM API
Lesson 3: Designing Effective Prompts
Module 4: The Quiz
Module 5: Mastering Deployment of AI Pipelines
Lesson 1: Designing APIs for LLM-Based Interactions
Lesson 2: Containerizing Applications with Docker
Lesson 3: Deploying to Production Platforms
Module 5: Quiz
Module 6: Comming Soon
Lesson 1: Testing LLM Responses
Lesson 2: Performance Testing of Vector Searches
Lesson 3: Monitoring and Logging for Deployed Systems
Module 6: Quiz
FAQ
Feedback
AI Essentials for Professionals
Register AI Essentials for Professionals
Introduction AI Essentials for Professionals
How to Navigate AI Essentials for Professionals
Module 1 AI Essentials for Professionals
M1 L1 AI in a Nutshell
M1 L1 Activity
M1 L1 Assignment
M1 L2 “Weak” vs. “Strong” AI
M1 L2 Activity
M1 L2 Assignment
M1 L3 Success Cases with AI
M1 L3 Common AI Limitations
M1 L3 Assignment
Module 1 Quiz
Module 2 Language Models and Practical Differences
M2 L1 What are LLMs?
M2 L1 Assignment
M2 L2 Key Use Cases and Applications
M2 L2 Assignment
M2 L3 Model Selection & Decision Factors
M2 L3 Assignment
Module 2 Quiz
Module 3 In-Depth Prompting
M3 L1 Prompting Best Practices
M3 L1 Assignment
M3 L2 Prompt Chaining
M3 L2 Assignment
M3 L3 Tools for Prompting
M3 L3 Assignment
Module 3 Quiz
Module 4 Process Automation with AI
M4 L1 Identifying Automatable Tasks
M4 L1 Assignment
M4 L2 Integration with Automation Tools
M4 L2 Assignment
M4 L3 Agents and Task Delegation
M4 L3 Assignment
Module 4 Quiz
Module 5 Key AI Tools for Productivity
M5 L1 Exploring the AI Tool Landscape
M5 L1 Assignment
M5 L2 Exploring the AI Tool Landscape
M5 L2 Assignment
M5 L3 - Real Use Cases & Your Personal Productivity Stack
M5 L3 Assignment
Module 5 Quiz
Module 6 AI for Quick Decision-Making and Strategy
M6 L1 How AI Supports Strategic Thinking
M6 L1 Assignment
M6 L2 Building an Insight-to-Action Workflow
M6 L2 Assignment
M6 L3 Communicating AI-Driven Insights to Stakeholders
M6 L3 Assignment
Module 6 Quiz
Module 7: Advanced Use of Tools and Prompting (Higher Level)
M7 L1 Advanced Prompting Techniques
M7 L1 Assignment
M7 L2 Combining Tools for Multi-Layered Outputs
M7 L2 Assignment
M7 L3 Designing and Testing Your AI Assistant (Mini Project)
M7 L3 Assignment
Module 7 Quiz
End of the essentials course
AI Tools
Register AI Tools Course
Introduction AI Tools Course
How to Navigate the AI Tools Course
Module 1: AI Landscape for Software Development
Lesson 1: AI Tools for Faster Coding
Lesson 2: Documentation-First and Vibe Coding (for Flow)
Lesson 3: Key Considerations—Security, Costs, and Ethics
Module 1: Quiz
Module 2: Code Assistants and Advanced Workflows
Lesson 1: Deep Dive into Advanced Code Assistant Tools
Lesson 2: Advanced Techniques — Prompt Engineering, Documentation-First & V
Lesson 3: Benchmarks, Evaluations & Adoption Decisions
Module 2: Quiz
End of the course
AI Tools for Coding
Register AI Tools for Coding Course
Introduction AI Tools for Coding Course
How to Navigate the AI Tools for Coding Course
Module 1: AI Landscape for Coding
Lesson 1: Coding, a brief story
Lesson 2: Current key coding LLMs
Quiz Module 1: AI Landscape for Coding
Module 2: New tools, new workflows
Lesson 1: New generation IDEs
Lesson 2: Modern Techniques
Lesson 3: Recommended Practices
Quiz Module 2: New tools, new workflows
Congrats, end of the course
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