Turn AI Investments into Enterprise Advantage

We help leaders activate AI across people, processes, and platforms to drive speed, quality, and responsible innovation.

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AI is reshaping how software is built – but most organizations aren’t ready to use it effectively.

True transformation isn’t about adding tools; it’s about building capability. Galvanize helps enterprises embed AI into the engineering lifecycle, teaching teams to design, code, and operate alongside AI responsibly and at scale.

Our programs blend hands-on training with embedded coaching inside your projects. Engineers practice prompt-driven development, design RAG pipelines and agentic systems, and integrate AI automation into DevOps and delivery workflows. Leaders learn to guide adoption responsibly, turning curiosity into enterprise capability and measurable ROI.

The result is teams that build faster, think creatively, and use AI not just to accelerate work but to transform how work gets done.

What We Do

We help enterprises turn AI from a strategic concept into operational capability, training teams, leaders, and engineers to apply AI responsibly across the development lifecycle.

Foundations: AI Literacy & Fluency

Technologies & Topics:
AI Literacy · LLM Fundamentals · Prompt Engineering (“The Universal Bridge”) · Python for AI · OpenAI API

We build foundational understanding across technical and non-technical teams. Participants learn how large language models (LLMs) work, how to prompt and evaluate them effectively, and how to think in terms of AI-assisted workflows. These programs create a shared language for AI across engineering, product, and leadership teams, ensuring responsible, effective adoption from day one.

Engineering with AI

Technologies & Topics:
GitHub Copilot · Cursor · LangChain · OpenAI API · Anthropic Claude · Hugging Face Transformers · RAG Systems

We train engineers to integrate AI directly into their development workflows. Teams learn prompt-driven development, code generation, and retrieval-augmented generation (RAG) techniques for real-world applications. Through hands-on labs, engineers build agents, automate repetitive coding tasks, and safely deploy AI-assisted systems into production environments.

AI Architecture & Systems

Technologies & Frameworks:
LangGraph · LlamaIndex · Vector Databases (Pinecone, Weaviate, FAISS) · MLflow · Kubeflow · Airflow · TensorFlow · PyTorch

We equip architects and data engineers to design scalable AI systems. Teams learn how to build agentic architectures, manage model orchestration, integrate vector databases, and deploy ML models at scale. Training emphasizes performance, observability, and governance across hybrid and cloud environments, ensuring AI systems are both powerful and compliant.

Leadership, Governance & Responsible AI

Topics & Tools:
Responsible AI Principles · Ethics & Bias Mitigation · ROI Modeling · Change Management · AI Governance Frameworks · Data Security

We help executives and team leads align AI adoption with strategy, risk, and return. Participants learn to measure impact, model ROI, and establish responsible AI policies that balance innovation with governance. Programs build leadership fluency in technical concepts and enable organizations to scale AI safely and sustainably.

DevOps + AI / MLOps Integration

Technologies:
GitHub Actions · MLflow · ArgoCD · TensorRT · Docker · Kubernetes

We integrate AI into the DevOps lifecycle. Teams learn to automate ML model builds, manage experiment tracking, and operationalize AI systems with reproducibility and security. These programs merge modern DevOps discipline with emerging AI tooling to create truly intelligent delivery pipelines.

Client Spotlight: Fortune 500 Software Company

Fortune 500 Software Company Scales AI Literacy Across Global Engineering Teams

A Fortune 500 software company partnered with Galvanize to accelerate foundational AI capability across its global engineering organization. Designed for experienced software and data engineers, the program provided a fast-paced, hands-on introduction to neural networks, CNNs, RNNs, and GANs, laying the groundwork for AI fluency across teams in North America and Asia.

Delivered over four consecutive days through live instruction and guided labs, participants built and tuned neural networks using TensorFlow while exploring optimization methods and modern model architectures. Engineers engaged through hourly polls, real-time demos, and parameter-adjustment exercises to reinforce learning in virtual environments.

The results showed clear progress: 

  • Average assessment scores increased from 46% to 62%
  • Daily surveys reflected strong engagement and satisfaction with instructor quality 
  • Feedback-informed future program expansion, including extended coding practice, TensorFlow deep-dives, and Autodesk-specific AI applications 

The engagement established a scalable foundation for AI literacy and launched the next phase of Autodesk’s enterprise AI learning path.

See how Galvanize accelerates AI adoption at scale

How We Work

Collaborate

We partner with your teams to identify where AI can create value and how to apply it safely within existing systems.

Translate

We design competency-based learning experiences that connect AI concepts to your real-world workflows and metrics.

Innovate

We blend instruction, hands-on labs, and embedded coaching to build adoption through practice.

Validate

We measure impact on delivery speed, accuracy, and ROI, turning AI adoption into quantifiable enterprise advantage.

Activate AI as a competitive advantage.

Talk to us about training your teams and leaders to apply AI responsibly, transforming how your organization builds and delivers.

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