Enterprise Training Portfolio

A curated foundation program that builds durable AWS fluency across cloud concepts, core services, security fundamentals, and cost awareness.

Who this is for: New-to-AWS professionals, cross-functional stakeholders, pre-sales teams, and operations/support practitioners.

Key outcomes

• Explain cloud value proposition, shared responsibility, and AWS global infrastructure.
• Identify use cases for core AWS services across compute, storage, database, and networking.
• Understand IAM basics, encryption concepts, and monitoring fundamentals.
• Interpret AWS pricing models and cost-management basics.
• Prepare for CLF-C02 with structured revision and practice.

A practitioner-friendly and enterprise-oriented introduction to AI/ML and GenAI focused on decision-making, risk management, and value realization.

Who this is for: Architects, developers, data/analytics professionals, product leaders, and cloud teams.

Key outcomes

• Explain AI/ML concepts and GenAI building blocks like LLMs, embeddings, and RAG.
• Select the right AWS service category for common AI use cases.
• Apply responsible AI principles including privacy, bias, and governance.
• Recognize cost and performance drivers for AI workloads.
• Prepare for AIF-C01 with domain-wise practice.

A pragmatic and executive-ready FinOps program to improve cloud cost transparency, accountability, and optimization outcomes.

Who this is for: Platform/cloud leaders, architects, SRE/ops teams, FinOps analysts, and finance/procurement partners.

Key outcomes

• Establish a FinOps operating model with personas, rituals, and KPI governance.
• Design cost allocation using tags/labels and shared-service attribution.
• Create an optimization backlog covering efficiency and rate optimization opportunities.
• Implement governance guardrails for budgets, policies, and anomaly response.
• Build forecasting and budgeting connected to roadmaps and unit economics.

A specialized program for teams standardizing cloud cost and usage data to enable consistent FinOps analytics at scale.

Who this is for: FinOps and cloud cost analysts, BI/data engineers, platform teams, and finance stakeholders.

Key outcomes

• Understand practical FOCUS model concepts for dimensions, measures, and usage/cost alignment.
• Create mapping from cloud billing exports to FOCUS-aligned datasets.
• Produce repeatable KPI-ready datasets for dashboards and chargeback/showback.
• Apply normalization and quality checks to avoid mapping pitfalls.
• Build audit-friendly logic for stakeholder-ready reporting.

A hands-on and governance-aware program to help teams adopt GenAI with confidence using reliable, reusable prompt patterns.

Who this is for: Business leaders, analysts, and engineering practitioners seeking measurable productivity gains from GenAI.

Key outcomes

• Create high-quality prompts with role, goal, context, constraints, and examples.
• Generate structured outputs and iterate with critique loops.
• Apply prompts to real workflows including summaries, SOPs, and troubleshooting.
• Use privacy-aware prompting and prompt-injection awareness practices.
• Build and maintain a reusable prompt library with quality checklists.