Training for the Technology & Startup Sector
Help your engineering, product, and data teams mature faster. Curricula are mapped to NIST CSF 2.0, ISO/IEC 27001:2022, OWASP Top 10 + LLM Top 10 2025, NIST AI RMF 1.0, and Indonesia PDP Law No. 27/2022 — measured against DORA Four Keys, OKRs, and Kirkpatrick L1–L4.
- Format
- In-house / online / hybridFormat
- Duration
- 2 hours–5 days + ongoing 3–12 month programsDuration
- Audience
- Small teams (10) to engineering orgs (300+)Audience
- Language
- Indonesian / EnglishLanguage
Corporate training for the tech sector covers AI engineering, DevSecOps, cloud, data, and engineering leadership. Programs run in-house, are designed after a TNA, and align with NIST CSF 2.0, ISO 27001:2022, OWASP Top 10, NIST AI RMF, and Indonesia's PDP Law. Outcomes are measured via DORA Four Keys, OKRs, and Kirkpatrick L1–L4.
Discuss your engineering team's needsWhat is different about training in the technology & startup sector
Indonesian tech companies and startups operate under two simultaneous pressures. On one side they chase release velocity and product validation; on the other they must comply with Indonesia's Personal Data Protection Law No. 27/2022, OJK fintech regulations (POJK 13/POJK.02/2018, POJK 10/POJK.05/2022, POJK 22/2023 for digital finance innovation), and international standards such as ISO/IEC 27001:2022 and ISO/IEC 27017/27018 when handling cloud services. Curricula therefore serve engineering excellence (DORA, Scrum Guide 2020, OWASP) and governance (NIST AI RMF 1.0, ISO/IEC 42001:2023 for AI management systems) at the same time.
- Training buyers are plural: CTOs, VP Engineering, Heads of Product, Heads of People, often founders themselves.
- Budgets are typically split across training, infrastructure (cloud credits), and tools — proposals must respect that.
- Engineer onboarding speed is a direct business KPI; it is treated alongside product metrics.
- Reputational risk from data breaches sits at the same level as customer churn; security awareness is pulled up to the product layer.
Since 17 October 2024, Law No. 27/2022 on Personal Data Protection has been in full force. Every startup that stores user personal data carries controller/processor obligations, including breach notification. Privacy and security training must cover the DPO role and incident response flow.
OWASP LLM Top 10 2025 (prompt injection, sensitive information disclosure, supply chain, model DoS) is now used by internal auditors and investors during technical due diligence of AI applications. Teams building LLM features need to be trained against this control set.
Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Restore are DORA metrics widely accepted from DORA/Accelerate research. Our engineering programs are measured by movement across all four metrics, beyond post-test scores.
Indonesian tech & startup market reality, 2026
Market context that grounds our program design.
Indonesia's annual digital talent need (Kominfo & World Bank estimates, ~600k/year range).
Most tech companies already run GenAI pilots; the next hurdle is moving from pilot to production (industry surveys 2024–2025).
PDP Law No. 27/2022 has been in full force since 17 October 2024; administrative and criminal sanctions apply to negligent data controllers.
BSSN records hundreds of millions of anomalous traffic events per year; digital & fintech sectors are primary targets.
Regulations & standards that anchor the curriculum
Every module is mapped to these frameworks so audit, security, and compliance teams can read the relevance directly.
Controller and processor obligations, data subject rights, 3×24-hour breach notification. Anchor for the privacy-by-design and employee awareness modules.
Governs cybercrime and the liability of electronic system operators. Context for the digital ethics & incident response modules.
Annex A 6.3 requires awareness, education and training in information security for all personnel. Primary reference for security awareness programs and ISMS readiness.
Cloud security controls (27017) and protection of personal data in the cloud (27018). Used by SaaS providers and platform teams for enterprise customer audits.
Adds the Govern function alongside Identify-Protect-Detect-Respond-Recover. Used to map the security maturity of engineering and SecOps teams.
Risk lists for web and LLM-based applications that every developer must know. Reference for secure coding, code review, and AI security modules.
Four functions (Govern-Map-Measure-Manage) for AI risk. Used in our AI governance and responsible AI modules.
The first AI management system standard. Used by AI startups preparing for certification and enterprise-grade model governance.
IT governance, risk management, and incident reporting duties for P2P lenders and payment system operators. Context for fintech-focused training.
Delivery method sources (Scrum, DORA Four Keys, capabilities). Used in agile, DevOps, and engineering productivity modules.
Typical outcomes for tech team training
Outcomes are written as metrics or behavioural targets — exact numbers come from your team baseline during the TNA.
Choosing a training shape for your tech team
Three options HR / VP Engineering most often weigh — anchored by the in-house, TNA-designed path we recommend.
| Criterion | Public bootcamp | Vendor certification (AWS/Azure/GCP) | Online library (Coursera/Udemy for Business) | Neksus in-house program ★ |
|---|---|---|---|---|
| Fit to your stack & repos | Low — generic curriculum | Medium — bounded to vendor product | Low — self-paced, generic | High — your cases & repos become the materials |
| Support for compliance targets (PDP Law, ISO 27001, POJK) | Rarely discussed explicitly | Focused on vendor controls | Compliance modules exist; rarely contextual | Directly mapped to your obligations |
| Suitable for shifting engineering culture | Difficult — participants scattered | Difficult — focuses on vendor product surface | Difficult — individual by nature | Designed alongside leadership & line managers |
| Impact measurement vs product / DORA metrics | Not routine | Individual certification | Course progress | Kirkpatrick L1–L4 + team metrics (DORA, MTTR, OKR) |
| Procurement support (PO, VAT, tax invoice, NDA) | Varies | Global vendor standard | Annual licence | Full — Indonesian PT, VAT, tax invoice, mutual NDA |
Engagement path with a tech team
Six steps from initial brief to impact report. Each step produces an artefact you can take into management review.
- 1
Initial brief & contextualisation
1 sessionA 45–60 minute discussion with the VP Engineering / CTO / Head of People to understand product strategy, team structure, and compliance pressures.
- 2
Training Needs Analysis (TNA)
1–2 weeksSkill matrix assessment per role (engineer, SRE, data, product, security), review of selected repos & documentation, interviews with key personnel.
- 3
Proposal & curriculum design
5–10 working daysModule design per role, mapped to NIST CSF 2.0 / OWASP / ISO 27001 / PDP Law, Kirkpatrick L1–L4 targets, schedule, and procurement documents.
- 4
Training delivery
2 hours–5 days per moduleLive sessions (online, in-house, or hybrid) with practitioner trainers. Labs run on simulation repos or cloud sandboxes. Line-manager coaching when relevant.
- 5
Application in your live sprints
4–12 weeksCoaching and code review for 4–12 weeks so material is practised on the real backlog; weekly office hours for technical questions.
- 6
Impact report & next-cycle plan
1–2 weeksKirkpatrick L1–L4 report + delta on DORA / MTTR / OKR, recommendations for the next program (advanced track, security maturity, leadership).
Target roles in technology & startup organisations
Training is structured per role; one program can accommodate two or three roles via separate tracks.
Growing an engineering org from dozens to hundreds without losing velocity or quality; standardising practice across squads.
Bridging delivery and people management; delegating technical depth while leading sprint planning and mentorship.
Leading scalable & secure system design, acting as reviewer & mentor while maintaining individual productivity.
Raising reliability (SLO, MTTR), strengthening supply-chain security, and controlling cloud costs.
Moving models from notebook to production (MLOps), managing data quality & governance, complying with the PDP Law.
Setting OKRs and product metrics (MAU/DAU, retention, NPS, MRR/ARR), working with AI & data teams, healthy backlog prioritisation.
Building a company-wide security awareness program; meeting ISO 27001, PDP Law, and the due-diligence needs of investors and enterprise clients.
Preparing the team for fundraising, investor technical audits, and market expansion while staying within local regulation.
Most-requested training topics for tech teams
Curator picks for the tech sector. The full list of relevant topics appears automatically below.
Corporate Generative AI Training
Safe GenAI adoption for products and internal tooling, mapped to NIST AI RMF and OWASP LLM Top 10.
Corporate MLOps & Production AI Engineering
Moving models from notebook to production: feature store, model registry, drift monitoring, and ML governance.
DevSecOps Foundations for Corporate Engineering Teams
Shift security left in the CI/CD pipeline: SAST/DAST/SCA, IaC scanning, and supply-chain SBOM for engineering teams.
Agile & Scrum for Product Teams
Scrum Guide 2020 + product discovery + OKRs for product teams ready to leave the delivery treadmill behind.
Cloud Foundation (AWS / Azure / GCP Essentials)
AWS / Azure / GCP foundations per role (engineer, ops, data), with cost control and ISO 27017/27018 security baselines.
Corporate Generative AI Training
Generative AI training (LLM, prompt engineering, agentic workflows) for enterprise teams, with industry-specific use cases and AI governance guardrails.
DevSecOps Foundations for Corporate Engineering Teams
In-house DevSecOps training: shift-left, SAST/DAST/SCA, SBOM, supply-chain, guided by NIST SP 800-218 SSDF, OWASP DevSecOps Maturity Model (DSOMM), and SLSA framework.
Corporate MLOps & Production AI Engineering
In-house MLOps & Production AI Engineering training: feature store, model registry, drift monitoring, mapped to Google MLOps Practitioners Guide, Microsoft MLOps maturity, NIST AI RMF 1.0, ISO/IEC 42001:2023.
Power BI / Tableau for Analysts & Business Teams
In-house Power BI & Tableau training: DAX, M, VizQL, star schema, storytelling with data, aligned with PL-300 and Tableau Desktop Specialist + Certified Data Analyst.
Employee Cybersecurity Awareness
Company-wide cybersecurity awareness: phishing, social engineering, data protection, attack simulations, and regulatory compliance.
Executive Communication & Presentation
Sharpening message clarity, data storytelling, and stage presence for internal pitching, board meetings, and stakeholder communication.
Agile & Scrum for Product Teams
Practical, on-the-ground Agile and Scrum adoption: backlog, sprints, ceremonies, delivery metrics, and cross-team scaling for digital products.
Professional Business English
Applied business English for email, meetings, presentations, and cross-cultural negotiation, with level assessment and department-specific curriculum.
Cloud Foundation (AWS / Azure / GCP Essentials)
In-house cloud foundation training: AWS / Azure / GCP essentials, guided by AWS Well-Architected 6 pillars, FinOps Framework, NIST SP 800-145, CIS Benchmarks, and Cloud Adoption Framework.
Kubernetes & Container Orchestration for Engineering Teams
Kubernetes & Docker training for engineering teams: kubectl, Helm, ArgoCD, Pod Security Standards, CIS Kubernetes Benchmark, NIST SP 800-204C, and CKAD/CKA competencies.
Corporate Business Mandarin Training
Corporate business Mandarin training aligned with HSK 1-9 (Standard 2021), HSKK speaking, and BCT — for mainland China supplier negotiation, manufacturing JV coordination, and SOE expansion to Asia, with strong Pinyin foundation and real Indonesia business context.
Project Management Training (PMBOK 7th Ed & Agile Hybrid)
Corporate project management training based on PMI PMBOK Guide 7th Edition (12 principles + 8 performance domains), Disciplined Agile (PMI-DA), SAFe elements, PRINCE2 contrast, and Earned Value Management discipline — with conscious per-project tailoring (predictive/adaptive/hybrid).
SQL & Analytics Fundamentals for Analysts
SQL & analytics fundamentals training for analysts: advanced SELECT, JOIN, CTE, window functions (SQL:2016), query optimization, across dialects (PostgreSQL/MySQL/BigQuery/Snowflake) with corporate analytics patterns.
RAG & Knowledge-Base Build Training for LLM Applications
Engineering training to build end-to-end retrieval-augmented generation over corporate corpus: chunking, embeddings, vector DB (Pinecone/Weaviate/Qdrant/pgvector), LangChain/LlamaIndex orchestration, RAGAS & TruLens evaluation, and OWASP LLM Top 10 2025 + NIST AI RMF GenAI Profile + UU PDP hardening.
Deep Prompt Engineering Training for Knowledge Workers
Deep prompt engineering training for corporate knowledge workers: Chain-of-Thought (Wei et al. 2022), Tree-of-Thoughts (Yao 2023), ReAct, Self-Consistency patterns, JSON Schema structured output, eval harness, and NIST AI RMF GenAI Profile (NIST AI 600-1) + UU PDP governance.
Coaching for Managers Training (ICF-Aligned)
Manager-as-coach training aligned with 8 ICF Core Competencies & ICF Code of Ethics, GROW (Whitmore) & CLEAR (Hawkins) models, STAR practice — with strict boundaries between coaching, mentoring, training, and performance management.
Typical outcome patterns in tech-sector clients
Indicative illustrations. Exact numbers come from your team baseline during the TNA — we avoid generic promises.
A SaaS scale-up with ~80 engineers preparing for ISO 27001:2022 audit while releasing weekly.
A 12-week program: DevSecOps Foundations + recurring security awareness (NIST Phish Scale) + ISMS workshop for tech leads.
Security module coverage reached every engineer, vulnerability backlog was re-prioritised, and the organisation walked into external audit ready.
A fintech P2P startup that recently complied with POJK 10/POJK.05/2022 and the PDP Law.
A 3-city PDP Law awareness roadshow + an internal incident-response bootcamp + 8 weeks of DPO coaching.
The team built a 3×24-hour breach notification playbook, a per-product personal-data map, and ran tabletop incident drills.
A 200-engineer org aiming to reduce Change Failure Rate and increase Deployment Frequency.
A 16-week engineering productivity program: Scrum re-baseline, trunk-based development, observability, and per-squad DORA coaching.
Sprint reviews now display baseline and target Four Keys; line managers share a common delivery-health language with product and business.
Procurement information for the tech sector
Standards typically required by startup and tech-company legal/finance teams are already in place.
- Legal entity & taxIndonesian PT provider; 11% VAT issued via Coretax e-faktur.
- Vendor onboarding documentsNPWP, NIB, articles of incorporation, company profile, trainer team structure, indicative reference list available on request.
- Contracts & NDABilingual id/en contracts, mutual NDA, standard client code & data confidentiality clauses.
- Payment termsPO + milestone terms (DP / mid / final) or monthly for 6–12 month ongoing programs; supports procurement-as-a-service.
- Data & delivery securityOnline sessions via the client's preferred platform (Zoom / Meet / Teams); labs on isolated sandboxes; no production data used without written consent.
- SLAs & reportingBackup trainers, makeup scheduling, per-batch Kirkpatrick L1–L4 reports, portal access for summary dashboards.
- Certificates & recognitionCompletion certificate per participant, hours-of-training letter, optional co-branding with BNSP/international partners when relevant.
Frequently Asked Questions
Talk through your tech team's training needs
Tell us briefly about the product, team structure, and compliance targets. We respond with an initial TNA outline and training format options within 2 business days.
- Initial 45–60 minute consultation with a practitioner trainer for the tech sector.
- A short TNA: skill matrix per role + relevant impact indicators.
- Structured proposal: curriculum, schedule, pricing, procurement documents.
- Support for PDP Law, ISO 27001:2022, NIST CSF 2.0, OWASP LLM, NIST AI RMF.
- Kirkpatrick L1–L4 measurement + team metrics (DORA, MTTR, OKR).