SPOTS AVAILABLE — 2026 IN-COMPANY TRAINING 3 INTENSIVE DAYS · HANDS-ON ENGINEERING TEAMS CLAUDE CODE · CODEX · COPILOT SPOTS AVAILABLE — 2026 IN-COMPANY TRAINING 3 INTENSIVE DAYS · HANDS-ON ENGINEERING TEAMS CLAUDE CODE · CODEX · COPILOT
Corporate Training · Active

Software Developmentwith Artificial Intelligence.

Empower your team to build modern software using Artificial Intelligence and AI coding agents. Intensive 3-day training for engineering teams.

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3Intensive days
4Hands-on modules
18+Years of exp.
ai_agent.py — workspace
ai_agent.py
rag_pipeline.py
tests.py
# Integração com modelo de linguagem
import anthropic
 
def generate_api(prompt: str) -> str:
client = anthropic.Anthropic()
response = client.messages.create(
model="claude-opus-4-6",
max_tokens=2048,
messages=[{
"role": "user",
"content": prompt
}]
)
return response.content[0].text
 
# Executar agente de código
result = generate_api("Generate a complete REST API")
print(result)
●Python 3.12|anthropic 0.42
Ln 18, Col 24|✓ No errors
1U / Diagnosis

Most teams still don't know how to use AI in software development.

The tools have evolved. The workflows haven't. Meanwhile, companies that productively adopt AI are pulling ahead — shipping faster, with fewer bugs, and lower operational costs.

DIAGNOSTIC REPORT — ERR_AI_UNDERUTILIZED
[E001]
AI used only as a chatbot
Real automation potential wasted on superficial usage
[E002]
No integration with real systems
Difficulty connecting language models to existing products
[E003]
Unaware of AI coding agents
Teams missing out on concrete productivity gains
[E004]
Underutilized AI tooling
Development workflow lacking effective AI support
2U / In Practice

What developers will learn

Use AI as a pair programmer
Generate complete APIs with AI
Automatically generate tests
Refactor legacy code with AI
Build applications with AI models
3U / Modules

What your team will learn

Module 01
Development with AI agents
  • Using AI coding assistants
  • Automatic code generation
  • AI-assisted refactoring
  • Automatic test generation
Claude CodeGitHub CopilotOpenAI Codex
Module 02
Integrating AI into applications
  • Language model API integration
  • Structured data generation
  • AI-powered automation
Module 03
AI-powered systems
  • Embeddings and semantic representation
  • Semantic search
  • RAG — Retrieval Augmented Generation
Module 04
AI in production
  • Language model costs
  • Observability for AI systems
  • Security in AI applications
  • Architecture best practices
4U / Schedule

Training program

Day 01
Fundamentals & Agents
AI fundamentals for developers
Prompt engineering
Development with AI agents
Day 02
APIs & Processing
AI API integration
Document processing with AI
Embeddings and RAG
Day 03
Architecture & Production
AI system architecture
Observability
Costs and security
5U / Audience

Who is this training for?

Designed for companies that want their engineering teams to master AI as a real competitive advantage — not a passing trend.

Backend teams
Fullstack teams
SaaS companies
Companies looking to boost engineering productivity
Companies looking to integrate AI into products
6U / Instructor

About the instructor

IB
Isaque Barbosa
Senior Software Engineer
GoPHPNode.jsJava

Software engineer since 2008, with experience building high-scale backend systems.

Currently a Senior Software Engineer at Mercado Livre. Specialized in distributed systems architecture and AI-powered applications.

18+Years of exp.
MLMercado Livre
HighProd. scale
7U / Next Step

Empower your teamto develop with AI.

Intensive corporate training for engineering teams to learn how to build modern applications using Artificial Intelligence.

allonline.digital/trainaments/ai-software-development