AI Training for Software Engineers
Expert Guidance
Learn from the seasoned Gauntlet AI team - the experts behind the industry's most rigorous AI-first engineering program
Capstone Project with Tangible Value
Build real-world projects, and deliver an MVP AI solution to solve challenges unique to your organization
Flexibility for Distributed Teams
With live sessions across multiple time zones and recorded sessions, teams learn on their schedule
Ongoing Support
Leverage six months of post-course support, with office hours to help your team successfully implement their capstone projects
Trusted by leading software engineering teams
See AI-First Development in Action
See how our program graduates apply AI-first development by exploring Capstone Project demos.
This Course Includes
Live, Interactive Lessons
Learn directly from the Gauntlet AI Team
Direct Access
Direct Guidance from AI-First development experts
Actionable Feedback
Learn faster with insights from industry leaders
Exclusive Peer Network
Join an private network for elite AI-Developers
AI-First Toolkit
Repos, prompt libraries, decks, and learning materials
Capstone Project
Build your agent all the way into Production
Course Objective
Train your developers in AI-First engineering - automate workflows, ship faster, and scale efficiently
Master AI-First Development
Seamlessly integrate AI into your development workflows to maximize engineering output and accelerate delivery
Hands-On Agent Development
Build, deploy, and refine AI agents that eliminate real bottlenecks on your team, with guidance from Gauntlet AI instructors
Automate & Scale with Velocity
Learn and implement AI-driven automation to streamline workflows, eliminate backlog, and scale effciently.
Tool Agnostic
Master foundational principles, adaptable across evolving tools and frameworks.
Build a Real-World AI Solution
Not just theory — a tangible asset for your company
Our course guides participants to build a practical capstone project that addresses a specific challenge in your organization. You'll work with expert instructors to ideate, design, architect, and implement a complete AI solution during the 8-week program.
Solve Real Problems
Identify a specific challenge in your organization that AI can address effectively
Expert Guidance
Receive personalized support from instructors during every phase of development
Measurable Value
Develop a working prototype that demonstrates immediate business impact
Ongoing Support
Get 6 months of post-course assistance as you deploy your solution in production
By the end of the course, you'll have a production-ready AI solution that delivers tangible value — ensuring your investment translates directly into organizational impact.
Course Overview
An immersive 8-week program where developers master AI-First engineering - balancing expert-led live instruction, with hands-on projects, culminating in the delivery of a Capstone Asset for your organization
Program Breakdown
Comprehensive learning journey with ongoing support
Duration:
8-Weeks, structured into 4, two-week sprints
Live Instruction:
Two Virtual classes per week with multiple options, and expert instructors
Hands-On Learning:
Capstone Development Project integrated into each sprint
Support & Resources:
All recordings, materials, and resources available within our LMS and on-going Capstone project support provided for up to 6-months after course completion
Weekly Schedule
Live sessions and support throughout the week
Tuesdays:
70-minute instructor-led classes with hands-on learning
Wednesdays:
Office hours for capstone project guidance
Thursdays:
Guided development sessions showcasing practical techniques
Course Sections
Week 1: LLM Essentials
OpenAI | Ollama | LangSmith | LangFuse
Prompt Engineering Best Practices:
Advanced techniques to optimize your AI development workflow
LLM Monitoring Tools:
How to integrate LangSmith and LangFuse for AI performance tracking
Long-Term Memory Chatbots:
Building AI agents that maintain conversation context through chat history
Week 2: Retrieval-Augmented Generation
LangChain | Pinecone | Chroma | Nomic
Vector Database Guide:
How to store, search, and configure data for optimal performance
Similarity Search Implementation:
Building algorithms to find and compare related content in knowledge bases
RAG Architecture Tutorial:
Step-by-step guide to building context-aware AI systems with RAG
Week 3: Tool Calling and Functions
LangChain | OpenAI | Docker
OpenAI Function Calling Guide:
Implementing tools to enable AI systems to perform specific actions
LangChain LCEL Tutorial:
Creating reusable automation chains with Expression Language
AI Agent Tool Development:
Building custom tools to extend autonomous agent capabilities
Week 4: Designing and Building Agents
LangGraph | Tavily | OpenAI
Autonomous AI Agent Tutorial:
Building systems that reason, plan and execute complex tasks
Search-Powered AI Agents:
Creating automated research agents using Tavily API integration
AI Development Assistant:
Building agents that write and debug code through terminal access
Week 5: Fine-tuning
HuggingFace | PEFT | QLoRA | OpenAI
Dataset Preparation:
Creating high-quality training data for code-related tasks
Efficient Fine-Tuning Techniques:
Methods to customize models with minimal computational resources
Evaluation and Deployment:
Testing and implementing your fine-tuned models in production
Week 6: Multi-Agent Systems
LangGraph | CrewAI | Anthropic
AI Graph Architecture:
Building directed graphs for coordinating multi-agent systems
Multi-Agent System Design:
Creating hierarchical AI teams with supervisor agent coordination
AI Agent Performance Testing:
Implementing evals and monitoring tools for system optimization
Week 7: Deploying Advanced Graphs
LangGraph | Ollama | OpenAI | LangChain
LangGraph RAG Integration:
Building advanced architectures for corrective and adaptive retrieval
Human-in-the-Loop Systems:
Designing AI architectures with feedback and oversight mechanisms
AI Software Engineer:
Deploying agents for software planning and automated code review
Week 8: Capstone
LangGraph | Ollama | OpenAI | LangServe
LangServe API Development:
Deploying and scaling AI applications with production endpoints
AI Application Optimization:
Developing robust systems through guided iterations and feedback
Enterprise Implementation Support:
Launching AI solutions with 6-months guidance after the last class
Explore More Success Stories
Discover the diverse range of AI applications our graduates have built. Get inspired by real projects that showcase the practical skills you'll gain in our program.
AI for Developer Productivity
Transform your team's capabilities with AI-first development.
Next Cohort
Starts March 25
**Limited Seats Left
AI Delivering Real Results
Applying Best Practices at Tesla
I'm taking what I've learned from the Gauntlet team and using it at work at Tesla. It's great to know what I'm building at work is using best practices and patterns.
Nathan Thomas
Software Engineer, Tesla
The Key to Supercharging Productivity
Gauntlet AI's training equipped us with the skills to reduce dev time by 80% using AI agents—an incredible boost to productivity.
Zac Smith
CEO and Sr. Engineer, Code Shock
Saving 8 Hours a Week with AI
Even before finishing the course, I built an AI agent that's saved me around 160 dev hours so far—plus 8 hours every week going forward! Thanks to these tools, my workflow is more efficient and less manual.
Trevor Hardy
Principal Software Engineer, SponsorCX
A Perfect Start to My AI Journey
Gauntlet AI's AI training was exactly what I needed to begin my AI journey. The instructors made everything clear with real-life examples, and their support gave me a strong foundation in AI.
Basma Muhammad
Technical Delivery Manager, Kitestring