AI Career Programs + Enterprise Workforce Transformation

Build practical AI engineering capability.

GradePoint Academy helps technology professionals and enterprise engineering teams learn to design, build, and deploy production-ready AI applications.

Explore Bootcamps Corporate Programs
8-week applied programs Live remote cohorts Capstone-led learning

Flagship Program

AI Engineer Bootcamp

Develop hands-on skills in RAG, AI agents, MCP, LLM applications, deployment, and enterprise AI engineering.

  • 2 live sessions per week
  • Weekly guided labs
  • Production-ready capstone
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Why GradePoint Academy

Applied AI education for modern engineering teams.

Our programs focus on practical AI engineering, production deployment, enterprise architecture, and business-aligned outcomes.

Role-aligned

Designed for AI engineering, AI infrastructure, MLOps, and AI architecture career paths.

Production-focused

Participants build deployable AI applications, RAG systems, agents, and platform components.

Enterprise-aware

Security, governance, architecture patterns, cost, and transformation planning are included.

For U.S. Professionals

AI bootcamps for working technology professionals.

Designed for software engineers, data engineers, full stack developers, QA automation engineers, cloud engineers, and architects expanding into AI engineering.

Flagship

AI Engineer Bootcamp

8 Weeks · 70–80 Hours

Build production-ready AI applications with LLMs, RAG, AI agents, MCP, FastAPI, Docker, monitoring, and enterprise AI patterns.

Best for engineers moving into hands-on AI application development.

  • Live cohort sessions and guided labs
  • RAG, agents, MCP, and deployment workflows
  • Portfolio-ready capstone project
$2,999
Advanced

AI Infrastructure & MLOps

8 Weeks · 70–80 Hours

Deploy and operate AI infrastructure using model serving, MLflow, Kubernetes, observability, cloud, and production MLOps patterns.

Best for platform, cloud, DevOps, and ML engineers supporting production AI systems.

  • Model serving and inference operations
  • MLOps pipelines, monitoring, and cost tracking
  • Production AI platform capstone
$3,999
Leadership

Forward Deployed AI / AI Architect

6 Weeks · 40–50 Hours

Learn AI strategy, opportunity discovery, enterprise AI architecture, governance, ROI modeling, and executive roadmap creation.

Best for senior engineers, architects, consultants, and technical leaders driving AI initiatives.

  • AI opportunity discovery and prioritization
  • Architecture, governance, and ROI modeling
  • Executive-ready transformation roadmap
$5,999

Optional mentorship add-on available for $1,999, including focused capstone guidance, technical review, and personalized learning support.

What You Build

Capstone-led learning that demonstrates capability.

AI EngineerEnterprise Knowledge Assistant · AI Agent Platform · Production AI Application
AI InfrastructureProduction AI Platform · MLOps Pipeline · Enterprise AI Infrastructure Stack
AI ArchitectAI Transformation Strategy · Enterprise Roadmap · Executive Investment Proposal

For Global Capability Centers (GCCs)

AI Workforce Transformation Program

A strategic workforce transformation initiative for organizations that want to build AI-ready engineering teams, identify high-value AI opportunities, and accelerate enterprise AI adoption.

Request Corporate Proposal

Program Structure

  • Week 0: AI readiness assessment and planning
  • Weeks 1–6: Engineer, architect, and leadership tracks
  • Week 7: Capstone development
  • Week 8: Executive showcase and roadmap
20-50AI opportunities identified
8 WeeksAssessment to executive showcase
3 TracksEngineers, architects, and leaders

Corporate Tracks

Role-based enablement for the full engineering organization.

70%

Engineers

Software, data, and QA engineers learn LLM application development, RAG, agents, MCP, and deployment fundamentals.

20%

Architects & Technical Leaders

Technical leads, architects, and managers focus on enterprise AI platforms, governance, agentic systems, and solution design.

10%

Leadership

Directors, VPs, and GCC leaders align on AI economics, build vs buy decisions, investment models, and transformation roadmaps.

Program Phases

From readiness assessment to executive roadmap.

01

AI Readiness Assessment

Skills assessment, AI maturity review, team mapping, and readiness report.

02

AI Engineer Enablement

Hands-on enablement across LLMs, RAG, agents, MCP, AI applications, and deployment workflows.

03

AI Architecture Enablement

Enterprise AI platform design, governance patterns, agentic systems, and solution architecture.

04

Leadership Enablement

AI economics, investment models, build vs buy strategy, and transformation roadmap planning.

Corporate Deliverables

Corporate program deliverables.

AI Skills Assessment

Before-and-after skill mapping across participating teams.

AI Opportunity Discovery

20–50 AI opportunities with effort estimates and business impact analysis.

Prioritization Matrix

Use cases ranked by ROI potential, implementation complexity, and strategic value.

Capstone Solutions

Working prototypes built around organization-specific use cases and datasets.

AI Workforce Certification

Role-aligned certification for participants.

Executive AI Roadmap

12-month roadmap for AI transformation execution.

Industry Capstones

Example capstones by industry.

Banking

Loan advisory assistant, collections workflow assistant, and risk analysis assistant.

Pharma

Clinical intelligence assistant, protocol analysis workflow, and site selection support tool.

Insurance

Claims processing assistant, underwriting support tool, and fraud detection workflow.

Start Building AI Capability

Move from AI interest to execution.

Apply for an individual cohort or request a corporate AI workforce transformation proposal tailored to your team.

Choose your next step
Apply for Bootcamp Request Corporate Proposal

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