AI Training for Software Engineers

8-WEEKS ◦ PART-TIME ◦ REMOTE

Expert Guidance
Learn from seasoned AI practitioners with hands-on experience building and deploying solutions at scale

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
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Course Overview

Enable your team with the AI skills and techniques to accelerate development and ship faster

  • video

    Master AI-First Development
    Learn techniques to seamlessly integrate AI into your existing development workflows and supercharge your development

  • idea

    Practical Application
    Develop hands-on experience designing and implementing AI agents to tackle real-world challenges within your business

  • robot arm

    Increase Velocity
    Use AI to automate repetitive tasks, streamline workflows, and start to eliminate your backlog

  • robot arm

    Tool Agnostic Principles
    Foundational concepts that work for your tech stack

Course Structure

  • 8-week program divided into 4 two-week sprints
  • Two virtual classes each week with expert instruction
  • Hands-on development project with each sprint
  • All recordings and resources available through our LMS

Weekly Overview

Our course is designed to work around a busy schedule, balancing live instruction, and project work, with flexible support

Weekly Schedule

Tuesdays: 70-minute instructor-led classes with hands-on learning

Wednesdays: Office hours for capstone project guidance

Thursdays: Guided development sessions showcasing practical techniques

Each week, you'll gain actionable skills that apply directly to your organization's challenges

This Course Includes
  • video

    Interactive live lessons online

  • idea

    Actionable feedback

  • robot arm

    Real projects to apply learnings

  • teacher

    Direct access to an instructor

  • community

    Private community of peers

  • grad

    Certificate upon completion

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

LLM Fine-Tuning Guide: Optimizing language models with specialized training datasets

PEFT Implementation Tutorial: Adapting LLMs efficiently with LoRA and QLoRA techniques

HuggingFace Model Training: Using pre-trained models and customizing them for specific applications

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

BloomTech

AI for Developer Productivity

Next Cohort 

  • Starts February 25
$5000
Reserve Your Spot Today

AI Delivering Real Results

Applying Aitra’s Best Practices at Tesla

"I’m taking what I’ve learned from Aitra 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

"Aitra'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

"Aitra'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