AI Academy

Technical AI Bootcamps

Intensive 3-5 day hands-on training on RAG systems, prompt engineering, AI integration, and compliance-first development for technical teams in trust-critical industries.

Starting at $2,500/person On-Premise Off-Site In-Person Virtual

Your technical team knows how to build software. Now they need to build AI systems that work within your compliance framework. Our Technical AI Bootcamps deliver the intensive, hands-on training that transforms capable developers into confident AI practitioners.

Over 3-5 days, participants dive deep into the technologies that power modern AI applications: retrieval-augmented generation, large language model integration, vector databases, and production-grade prompt engineering. Every technique is taught through the lens of trust-critical industry requirements — data sovereignty, audit trails, access controls, and compliance validation.

This is not a lecture series. Bootcamp participants spend the majority of their time writing code, building systems, and solving problems. Each day concludes with working prototypes that participants can reference when applying these skills to real projects. A 30-day post-bootcamp support period ensures the transition from learning to implementation is smooth.

What's Covered

RAG Systems & Vector Databases

Build retrieval-augmented generation pipelines from scratch. Learn to design, implement, and optimize RAG architectures for enterprise use cases with compliance constraints.

Prompt Engineering & LLM Integration

Master advanced prompt engineering techniques, LLM API integration patterns, and output validation strategies for production systems in trust-critical environments.

AI Integration Patterns

Learn proven patterns for integrating AI capabilities into existing enterprise systems — APIs, event-driven architectures, and compliance-aware middleware.

Compliance-First Development

Build AI systems with data sovereignty, audit logging, access controls, and regulatory compliance as first-class design considerations, not afterthoughts.

Hands-On Labs & Projects

Every concept is reinforced with hands-on labs using real tools and frameworks. Participants build working prototypes they can reference after the bootcamp.

30-Day Post-Bootcamp Support

Dedicated Slack channel, office hours, and code review support for 30 days after the bootcamp to help participants apply what they learned on real projects.

How We Work

Intake & Assessment

We assess your team's current technical skills, your tech stack, and your specific AI implementation goals.

Curriculum Tailoring

Bootcamp content is calibrated to your team's skill level and your organization's technology environment and compliance requirements.

Intensive Delivery

3-5 days of focused, hands-on instruction with a mix of lectures, pair programming, labs, and project work.

Capstone & Follow-Up

Participants complete a capstone project, followed by 30 days of post-bootcamp support and code review.

Who It's For

Software Engineers & Developers

Developers adding AI capabilities to existing applications and building new AI-powered features

Data Engineers & Scientists

Data professionals building RAG pipelines, vector stores, and AI data infrastructure

DevOps & Platform Engineers

Infrastructure teams deploying and operationalizing AI services with compliance requirements

Technical Leads & Architects

Senior technical staff designing AI system architectures and making technology selection decisions

Bootcamp Outcomes

Participants build working prototypes

Intensive, hands-on instruction

Post-bootcamp support included

AWS Partner Cloud Infrastructure

Microsoft Partner Azure AI Services

Frequently Asked Questions

What technical background is required?

Participants should have experience with at least one programming language (Python preferred) and basic familiarity with APIs and cloud services. We offer a pre-bootcamp assessment to ensure alignment.

How many participants per bootcamp?

We recommend 8-15 participants per session for optimal hands-on learning. Larger teams can be accommodated with multiple concurrent sessions or sequential cohorts.

Can the bootcamp be customized for our tech stack?

Yes. We tailor labs and exercises to your specific technology environment, whether that is AWS, Azure, on-premise infrastructure, or a hybrid setup.

What tools and platforms do participants work with?

Typical bootcamps cover Python, LangChain/LlamaIndex, vector databases (Pinecone, pgvector), OpenAI/Azure OpenAI APIs, and relevant cloud services. We customize based on your stack.

Is the bootcamp available virtually?

Yes. Virtual bootcamps use live instruction with breakout rooms, shared development environments, and real-time code collaboration. We also offer on-premise, off-site, and in-person options.

What happens after the bootcamp?

Every participant receives 30 days of post-bootcamp support, including office hours, a dedicated Slack channel, and code review assistance on their real projects.

From Training to Production

After your team builds AI skills in the bootcamp, put those skills to work with our AI Automation and AI Operations services.

Build Private RAG Systems with AI Automation Deploy AI Models with AI Operations

More from AI Academy

Executive Briefings AI Literacy Programs Technical AI Bootcamps AI Compliance Certification Webinars & Events AI Readiness Assessment Course Calendar Academy Pricing

Want to explore more AI Academy programs?

Schedule a consultation to build a custom learning roadmap for your team.

Schedule a Consultation (415) 644-8208