Practitioner-led technology training across Generative AI, Agentic AI, cloud, data engineering, Microsoft Purview, full-stack development and DevOps—grounded in labs, enterprise scenarios and measurable outcomes.
We build job-ready capability through conceptual clarity, guided practice, architecture thinking and project-based application.
Production experience across AI systems, RAG and agent orchestration, cloud data platforms, application modernization, governance, quality engineering, IoT and embedded systems is translated into structured learning paths for technical teams and leaders.
Every module is reinforced with demonstrations, labs or design exercises.
Security, governance, cost, testing and operations are built into learning.
Assessments, capstones and reporting make progress visible.
Prior training and mentoring experience represented in our leadership profiles
Choose a standard curriculum or customize the journey around your stack, roles, use cases and target proficiency.
LLM foundations, structured prompting, model behavior, responsible usage and enterprise automation.
Ingestion, embeddings, hybrid retrieval, reranking, grounding, evaluation and secure knowledge access.
Tool-using agents, routing, memory, multi-agent patterns, human review and failure recovery.
Policy gates, golden datasets, evaluation, observability, cost control and release gates.
ADF, Spark, PySpark, Delta Lake, medallion architecture, optimization and secure delivery.
Unified Catalog, glossary, scanning, classification, lineage, stewardship and health controls.
C#, ASP.NET Core, Web API, EF Core, React or Angular, secure integration and implementation.
CI/CD, Git, testing, infrastructure as code, tracing and production release practices.
Embedded C/C++, Linux, MQTT, Azure IoT, telemetry and real-time connected solutions.
Map roles, proficiency, tools and expected job outcomes.
Build the journey, labs, assessments and environment plan.
Move from explanation to guided implementation and review.
Track assignments, quizzes, capstones and performance.
Provide project reviews, remediation and applied mentoring.
Share code, lab guides, notes and completion evidence.
Practical capability that transfers into delivery teams.
Build, troubleshoot and explain working solutions.
Understand design choices, boundaries and trade-offs.
Address security, governance, operations and cost.
Give stakeholders evidence through assessments and reports.
18+ years across enterprise development, training, cloud, data engineering, governance and AI-enabled applications.
18+ years spanning production AI platforms, cloud data systems and connected technologies.
One- to three-day concept and demonstration program for awareness or leadership enablement.
Applied learning with labs, exercises, assessments and a practical mini-project.
Role-based paths, capstones, mentoring, reporting and knowledge transfer across cohorts.
Tell us about your team, stack and desired outcomes. We’ll help shape the right workshop, bootcamp or academy.
Start a conversation