Upskill Your Engineering Team on Production ML Architectures
Not another high-level bootcamp. We run rigorous, code-first onboarding that turns your software engineers into confident ML infrastructure contributors inside your own codebase.
Code-first codebase onboarding, not high-level AI literacy sessions
Generic AI bootcamps teach concepts. Pento's technical training drops engineers straight into the ML architecture you run in production: feature pipelines, model serving patterns, MLOps tooling, and the debugging workflows that matter in your stack.
Rigorous onboarding into your ML codebase and infrastructure stack
Pento builds its AI Training programs around your repository structure, not generic slides. Each session uses real code from your codebase, live debugging exercises, and architecture reviews tied to your deployment pipeline. Engineers leave able to ship ML features, not just explain what machine learning is.
How we customize training for your industry and stack
Skills assessment
Every AI Training engagement begins by evaluating your team's current level of understanding, their roles, the tools they use, and the challenges they face.
That lets us design a targeted, relevant training experience.
Custom learning roadmap
Based on the assessment, we create a learning roadmap that defines required topics, depth of instruction, use cases, and hands-on activities.
The roadmap includes learning paths for leaders, business teams, and technical staff.
Pilot sessions and validation
We start with small pilot sessions to refine content, pacing, and real-world exercises.
Pilot participants give feedback that helps us sharpen the experience before we deliver it across the broader organization.
Full-scale training and ongoing enablement
Once validated, we deliver the full AI Training program across your teams: live workshops, hands-on labs, business use-case exploration, and follow-up sessions that reinforce learning.
Role-based AI training: executives, product managers, engineers
From shared understanding to reduced resistance, AI training accelerates adoption across your organization.
Build a shared understanding of AI, machine learning, and data concepts across your organization
Strengthen collaboration between business teams and technical teams for better AI outcomes
Increase adoption of AI tools across departments
Improve decision making with data-driven thinking
Develop long-term internal capability that reduces dependency on external vendors
AI enablement formats: workshops, cohorts, and ongoing programs
Pento's AI Training and Enablement programs are designed by practitioners who build real AI systems every day. Every lesson is grounded in practical experience and tied to real business requirements.
Organizations choose Pento because our AI Training programs offer:
Frequently Asked Questions
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Design your AI training program
If your engineering team needs to ship ML features and manage production ML infrastructure, not only understand AI at a conceptual level, book a scoping call. We review your codebase, team skill gaps, and delivery goals before designing the training track.