AI Corporate Training.
AI corporate training is not one course. Programs split by audience — new hires, practitioners, promoted staff, executives — and by topic, and we design for that split. Four principles hold across every program.
Last updated
What we cover
- Exercises built on your team's real documents and data
- Separate curricula by audience, from new-hire Python and SQL to executive data science
- Carrying training into per-person PoC mentoring and applied automation PoCs
- Current models across vendors — GPT-5, Claude Cowork and Code Agent, Gemini Gems
Delivered engagements
SK innovation E&S
2026.05Year-long AX transformation program and mentoring
- · AX transformation PBL coaching for the LNG AX Strategy and Power Business teams
- · RAG training built on AWS SageMaker and QuickSight
Delivered via: 팀스파르타View caseSamsung Electronics
2025.12Internal data science certification course
- · Authoring and distributing the pre-course data science material
- · Advanced data science theory and Python-based machine learning models
Delivered via: 팀스파르타View caseNCSOFT
2025.11Data analysis: foundation and advanced tracks
- · Foundation track: data analysis with MS Copilot and generative AI for daily productivity
- · Advanced track: building and visualising ML/DL models alongside MS Copilot
Delivered via: 팀스파르타View caseSamsung C&T
2024.05Executive data science program and workflow automation PoC
- · Data science programme for construction division executives
- · Workflow automation PoC for construction division staff
Delivered via: 코텍시스View caseAromatica
2026.08Company-wide AX program, run annually
- · Beginner: working with Cowork Agent through Claude Artifacts, Design and Project
- · Intermediate: automation strategy using Claude Cowork Agent and Code Agent
Delivered via: 메타코드에이치View caseHansae
2026.05Year-long AX program (intermediate)
- · AI literacy training with AX/DX automation mentoring
- · Replacing MS Excel VBA workflows with LLM-assisted practice
Delivered via: 팀스파르타View case
Frequently asked questions
- How long does the training take?
- Anywhere from a one-day intensive to a multi-week series, depending on audience and goals. Tool-centred topics such as generative AI run as short intensives; topics that need accumulated practice, such as data analysis or internal certification, run as multi-session tracks.
- Who can attend, and how many?
- Programs are designed separately for new hires, practitioners, promoted staff and executives. Because sessions are hands-on, we recommend cohorts small enough for instructors to see every screen; company-wide programs are split into multiple cohorts.
- What do participants need to prepare?
- A laptop and an account for the AI tools in use. Before the session we collect real work documents or data samples from participants to build the exercises; material that cannot leave the company is replaced with anonymised samples.
- How is the training priced?
- Quotes are based on headcount, the number of sessions and total hours, how much of the curriculum is built specifically for your organisation, and whether post-training PoC mentoring is included. Share your audience, headcount and goals through the inquiry form and we reply with a proposal and pricing.
- Can the training run online?
- On-site delivery is the default, because the exercises work best when instructors can look at each participant's screen and unblock them directly. For multi-site teams or scheduling constraints we also run online or blended sessions by arrangement.
Cortexys is an AX company that connects corporate AI training to PoC implementation, grounded in your team's real work.