Chartered Data Analyst (CDA™) – AI Automation & Private LLM Engineering
From Data to Autonomous Intelligence with Secure On-Prem LLMs & Azure AI Foundry
A 7-day executive intensive in Dallas for leaders who are done with static dashboards and want to architect end-to-end enterprise AI systems – from private, on-prem LLMs to Azure AI Foundry–powered automation, decision intelligence, and secure AI copilots.
22nd – 30th June 2026 ·
La Quinta Inn & Suites by Wyndham Dallas Frisco Stadium
· Dallas, Texas, USA
· Investment: $3,590 per delegate
Limited Seats | Executive Cohort · Early confirmation strongly recommended
- Move from BI dashboards to fully integrated enterprise AI systems that reason, decide, and act.
- Design and deploy private, on-prem LLMs that keep your sensitive data under your control.
- Integrate secure AI workloads with Microsoft Azure AI Foundry and core Azure services.
- Build AI automation pipelines and agents that orchestrate workflows across your business.
- Upgrade reporting into decision intelligence with AI copilots and executive-ready Power BI experiences.
Organized by ABMC International – AI & Data Academy · Led by Joseph Mugo, AI Engineer & Data Science Specialist
Why This CDA™ – AI Automation & Private LLM Engineering Program Now
Most organizations are still stuck in the first wave of AI training: tools, prompts, and dashboards. This program is engineered for the next decade – where competitive advantage comes from secure, enterprise-scale AI systems that sit on your data, in your environment, and power autonomous decision-making across the business.
Beyond Dashboards to Full-Stack AI Systems
Transform your analytics practice from static reporting into living AI systems that ingest data, reason with LLMs, trigger automated actions, and deliver narratives to stakeholders – not just charts. You’ll design architectures that connect data, models, and business workflows end-to-end.
Private, On-Prem LLMs for Sensitive Enterprises
Move beyond public APIs. Learn how to deploy and govern private LLMs on-premises or in your private cloud, so regulated and high-stakes data never leaves your control. This is AI training designed for banks, insurers, public sector, healthcare, and critical infrastructure environments.
Deep Integration with Azure AI Foundry
Architect AI workloads on Azure AI Foundry, Azure OpenAI, and supporting Azure services. You’ll learn how to design resource-efficient, secure, and monitored pipelines that can be deployed across global enterprise environments, with templates you can reuse internally.
Enterprise-Scale Automation Pipelines
Design enterprise AI automation with agents, triggers, and orchestrations that connect LLMs to your CRM, ERP, document management, and service systems. You’ll build patterns that reduce cycle times, remove manual hand-offs, and free teams to focus on judgment, not admin.
Governance-Ready & Career-Elevating
Every pattern, template, and capstone is designed with governance, compliance, and auditability in mind. You’ll leave not only with CDA™ certification, but with the credibility to lead AI initiatives – elevating your role from analyst or engineer to AI systems architect in the eyes of your leadership.
By the End of This 7-Day Intensive, You Will Have Built…
This is not theoretical AI training. You will leave Dallas with a portfolio of enterprise-grade, production-minded builds that you can demo to executives, reuse in your organization, and extend with your team.
On-Prem LLM Systems
A fully configured private LLM environment running on-premises or in a private VNet, with secure connectors to your data sources. You will design access controls, logging, and monitoring, and implement prompt-guardrails suitable for regulated environments.
RAG (Retrieval-Augmented Generation) Pipelines
A production-style RAG pipeline that indexes policies, contracts, SOPs, and knowledge bases into vector stores, and securely retrieves context for your LLM. You’ll implement chunking, embeddings, ranking, and evaluation so answers are trustworthy and traceable.
AI Agents for Operations & Knowledge
A set of task-focused AI agents capable of orchestrating workflows: answering internal questions, drafting reports, triaging support tickets, or preparing executive summaries. These agents will integrate with your RAG stack and Azure services for real actions, not just chat.
Azure Automation Workflows
An end-to-end automation pipeline orchestrated on Azure – using services such as Logic Apps, Functions, Event Grid, and Azure AI Foundry. You will design event-driven flows that respond to data changes, documents, or business events with AI-powered processing and alerts.
AI Copilots for Analysts & Managers
A working AI copilot that sits alongside your data environment, accepting natural language questions and generating insights, scenarios, and narratives. Designed for analysts, finance teams, and managers who need fast, guided decision support – not another tool to learn.
Power BI Decision Intelligence Solutions
An executive-ready Power BI experience augmented with LLM-based narratives, anomaly detection, and decision recommendations. You’ll connect your AI agents to dashboards so leadership receives concise, contextualized options – not just raw metrics.
Program Architecture: From Raw Data to Autonomous Intelligence
You will work through a clear, repeatable pipeline that mirrors how leading enterprises are implementing secure LLM and Azure AI architectures today.
DATA → RAG → LLM → AGENTS → AZURE → DASHBOARD
DATA
Curate structured and unstructured enterprise data – from warehouses and data lakes to PDFs, emails, tickets, and policies – and prepare it for AI consumption with quality, lineage, and security in view.
RAG
Implement Retrieval-Augmented Generation to ground your LLM outputs in verifiable enterprise content. This is how you ensure accuracy, context, and traceability for every AI answer delivered to executives or frontline staff.
LLM
Deploy, fine-tune, and govern private LLMs that run securely within your environment. You’ll select the right models, configure guardrails, and define usage policies that balance innovation with risk management.
AGENTS
Wrap your LLMs in specialized agents that know how to call tools, update systems, route tasks, and escalate decisions. This is where AI stops being a chatbot and becomes an operational teammate embedded in your processes.
AZURE
Operationalize the entire chain on Microsoft Azure and Azure AI Foundry – with monitoring, scaling, security, and resource governance. You’ll design patterns that your IT and cloud teams will recognize as production-ready starting points.
DASHBOARD
Expose results via decision intelligence dashboards and AI copilots in tools leaders already use. Instead of drowning executives in metrics, you’ll provide prioritized insights, narratives, and recommended actions tied to business objectives.
Course Overview: Architecting Enterprise AI, End-to-End
Across 7 intensive days and 2 capstone projects, this CDA™ track takes you from foundational architecture patterns to live, Azure-hosted LLM systems. Every module is anchored in real enterprise constraints – security, compliance, change management, and measurable ROI.
- Enterprise AI System Design – reference architectures, capability maps, value-stream alignment, and AI opportunity framing.
- Private AI Environments & On-Prem LLMs – model selection, deployment topologies, security controls, and performance optimization.
- Automation & Orchestration Pipelines – designing resilient flows that connect Azure services, LLMs, and business systems.
- Decision Intelligence & Analytics Transformation – turning BI, reporting, and self-service analytics into AI-assisted decision engines.
You Will Learn To:
- Design secure LLM and RAG architectures tailored to your data landscape.
- Stand up private LLM environments with Azure and on-prem infrastructure.
- Build AI agents and copilots that plug into existing enterprise workflows.
- Instrument governance: logging, monitoring, risk controls, and human-in-the-loop.
- Communicate AI value to boards and executives with clear, outcome-focused narratives.
Key Benefits & Executive Learning Objectives
Every learning outcome is tied to a concrete capability you can deploy when you return – to your team, your data platform, and your executive stakeholders.
- Confidently design, deploy, and manage on-prem and private LLMs for sensitive data.
- Build AI automation systems that orchestrate processes across finance, operations, risk, and customer functions.
- Leverage Azure AI Foundry and Azure services to run enterprise AI workloads at scale and within governance boundaries.
- Architect secure, compliant AI environments suitable for regulated industries and public sector organizations.
- Translate business requirements into end-to-end AI solutions that span data, models, agents, and user experiences.
- Upgrade legacy BI and reporting into AI-driven decision intelligence with narratives, alerts, and recommendations.
- Lead cross-functional AI initiatives and communicate clearly with C-level and board stakeholders.
- Define and implement AI governance frameworks including risk controls, human oversight, and compliance checkpoints.
- Create a roadmap to migrate existing analytics and digital transformation programs into AI-native architectures.
- Position yourself as a Chartered Data Analyst (CDA™) specialized in AI automation and private LLM engineering – a capability few professionals currently possess.
Real-World Enterprise AI Scenarios You Will Work Through
The program is built around concrete case-style modules that mirror how organizations across banking, telco, public sector, and manufacturing are adopting LLM and Azure AI today.
AI Assistant for a Pan-Regional Bank
Scenario: Relationship managers struggle to find up-to-date product, policy, and KYC information.
What you build: An internal, authenticated AI knowledge assistant backed by on-prem LLM and RAG over policy documents, product sheets, and compliance FAQs.
Impact: Faster customer responses, reduced compliance queries, and a blueprint for scaling the assistant across units and countries.
Document Intelligence with RAG for Contracts & SOPs
Scenario: Legal, procurement, and operations teams waste hours searching across long contracts and SOPs.
What you build: A RAG-based document intelligence solution that can summarize, compare, and highlight obligations and risks across thousands of pages.
Impact: Compressed review cycles, lower external legal spend, and institution-wide access to structured knowledge that used to live in PDFs.
AI Reporting Agent for Automated Insights
Scenario: Analysts spend days preparing monthly packs, commentary, and management summaries.
What you build: An AI reporting agent that connects to your data models, detects anomalies and trends, drafts narratives, and pushes curated insights into email, Teams, or Power BI.
Impact: Reporting cycles measured in hours rather than days, and analysts freed to focus on strategic analysis and scenario design.
Azure Orchestration for End-to-End Operations
Scenario: A manufacturing group wants to connect IoT data, maintenance logs, and stock levels with AI to reduce downtime.
What you build: An Azure-orchestrated pipeline that triggers AI agents when thresholds are breached, generates recommendations, and updates work-order systems.
Impact: Proactive maintenance, reduced outages, and a reference architecture for operational AI automation.
Executive AI Dashboards & Decision Rooms
Scenario: A regional group CEO wants a single, AI-assisted view of performance, risk, and opportunities.
What you build: A decision intelligence dashboard that combines metrics, AI narratives, what-if analysis, and recommended actions within Power BI and integrated copilots.
Impact: Faster executive meetings, better-aligned decisions, and clear visibility of AI’s impact on P&L and risk.
Governance & Risk Management in Enterprise AI
Scenario: A regulated institution wants to adopt LLMs without breaching privacy, ethics, or audit requirements.
What you build: A governance blueprint and monitoring setup that tracks data usage, model behavior, exceptions, and human overrides across AI services.
Impact: Executives gain the confidence to approve AI initiatives, backed by concrete controls and evidence of responsible deployment.
Who Should Attend This Executive AI Intensive
This program is designed for professionals who already understand data and analytics – and now need to own the AI, LLM, and Azure automation agenda inside their organizations.
Data Analysts & BI Professionals
Transform your role from report builder to AI and LLM engineer. Learn how to connect your Power BI and analytics work to private LLMs, AI copilots, and decision intelligence dashboards that leadership will rely on every day.
Data Engineers & Platform Teams
Move from pipelines and ETL into full AI workloads. You’ll learn how to extend your data platform with RAG, private LLMs, Azure AI Foundry, and orchestrated agents – and take a leading role in your company’s AI reference architectures.
Executives & Business Leaders
If you lead a business unit, data function, or transformation program, this intensive gives you the strategic AI fluency to ask the right questions, sponsor the right architectures, and judge AI initiatives based on value, risk, and time-to-impact.
IT, Solution & Enterprise Architects
You are responsible for security, resilience, and standards. This program helps you evaluate and design AI architectures on Azure and on-prem that meet your enterprise guidelines while enabling innovation teams to move faster with confidence.
Premium, Hands-On Delivery Model
This is an in-room, high-engagement engineering lab – not a passive conference. Expect to design, build, break, and iterate alongside peers from leading organizations across Africa, the US, Middle East, and beyond.
- 75% Hands-On Labs & Live Builds – every concept is reinforced by live coding, Azure configurations, and system walkthroughs.
- Group Exercises & Peer Reviews – collaborate in small teams to critique architectures, stress-test governance, and design AI roadmaps.
- Reusable Templates & Code Assets – take home reference architectures, notebooks, deployment scripts, and governance checklists.
- Executive-Level Discussions – daily debriefs on strategy, operating models, and change management for AI at scale.
What You Experience in the Room
You will work with a curated stack of tools including Azure AI Foundry, Azure OpenAI, Power BI, Python-based RAG frameworks, and orchestration services. Each day combines:
- Short, high-intensity concept briefings.
- Guided lab sessions with live support.
- Architecture clinics and troubleshooting.
- Reflection sessions to translate learning into your own environment.
Full Training Agenda: 7 Days from Foundations to Autonomous Systems
Designed as an intensive journey: from architecture fundamentals to live Azure deployments, orchestration, and governance-ready AI systems.
Day 1 – Enterprise AI, LLM & Azure Foundations
Themes: AI strategy, LLM landscape, enterprise reference architectures.
Topics: AI value streams; LLM vs. traditional ML; introduction to RAG; Azure AI services and Azure AI Foundry; security and data residency considerations.
Outcomes: Clear target architecture for your organization, prioritized use case shortlist, and a shared vocabulary for engaging executives and IT.
Day 2 – Data, RAG Pipelines & Document Intelligence
Themes: Data preparation for LLMs, vectorization, and retrieval design.
Topics: Chunking strategies; embeddings; vector databases; indexing of contracts, SOPs, and knowledge bases; evaluation of retrieval quality.
Outcomes: A working RAG pipeline on your lab stack and a set of best practices to implement document intelligence in your own environment.
Day 3 – Private LLMs & Secure Deployment Patterns
Themes: Private LLM infrastructure, on-prem and VNet-isolated deployments.
Topics: Model selection and sizing; hosting options (Azure, on-prem); network isolation; identity and access management; logging and monitoring; prompt safety and abuse prevention.
Outcomes: A private LLM environment deployed in lab and a deployment pattern you can adapt with your cloud and security teams.
Day 4 – AI Agents, Tooling & Automation Patterns
Themes: From chatbots to actionable agents.
Topics: Agent frameworks; tool calling; connecting to CRMs, ERPs, ticketing systems; task-routing; human-in-the-loop design; failure modes and escalation.
Outcomes: A set of AI agents that can read from your RAG pipeline, take actions via APIs, and log every step for audit and improvement.
Day 5 – Azure Orchestration & Enterprise Integration
Themes: Orchestrating AI across your ecosystem.
Topics: Azure Logic Apps, Functions, Event Grid; scheduling and event-driven architectures; connecting AI components to data warehouses, message buses, and line-of-business systems.
Outcomes: A production-style pipeline that shows exactly how AI workloads will run in your Azure environment end-to-end.
Days 6–7 – Governance, Decision Intelligence & Capstones
Themes: Responsible AI, executive storytelling, and portfolio-ready builds.
Topics: Governance frameworks; risk and controls; AI operating models; designing AI dashboards; Power BI decision intelligence; capstone project build and presentations.
Outcomes: Two capstone projects ready to showcase, governance blueprints tailored to your context, and a 90-day action plan to scale AI initiatives after the program.
Capstone Projects: Portfolio-Ready, Promotion-Ready
You will complete two substantial builds that demonstrate full-stack enterprise AI capability – ideal for internal showcases, promotion cases, and your professional portfolio.
Capstone 1 – AI Analytics Copilot for Leadership & Analysts
What it is: A conversational analytics copilot that sits on top of your data models and dashboards, capable of answering questions, generating narratives, and proposing actions.
Stack: On-prem or private LLM, RAG for metrics definitions and business rules, Azure AI Foundry, Azure Functions/Logic Apps, and a Power BI-integrated chat interface.
How you showcase it: Demonstrate to executives how a leader can ask, “Where are we off-plan this quarter and why?” and receive a structured, data-backed answer with drill-down options. This becomes a centrepiece in promotion discussions and internal AI roadshows.
Portfolio value: Clearly proves your ability to bridge BI, LLMs, and Azure AI into a single, high-impact solution.
Capstone 2 – Enterprise AI Automation System
What it is: An end-to-end AI automation system that detects events, processes them with LLMs and agents, and updates downstream systems while generating executive-ready notifications.
Stack: Event sources (data changes, new documents, or tickets), Azure Event Grid/Logic Apps, AI agents hosted with Azure AI Foundry and private LLMs, and reporting via Power BI and email/Teams.
How you showcase it: Walk leaders through a business scenario – for example, high-risk customer incidents, late shipments, or policy breaches – and show how the system detects, triages, recommends, and reports with minimal manual intervention.
Portfolio value: Demonstrates you can design enterprise-grade AI automation that aligns with IT standards and drives measurable productivity gains.
Your Lead Trainer: Joseph Mugo
AI Engineer & Data Science Specialist · Azure & Enterprise AI Architect
Joseph brings a rare combination of deep engineering expertise and executive communication experience. He has led and supported AI, data, and analytics programs across banking, insurance, telecom, public sector, and fast-growth technology companies.
- Over a decade working in data science, AI engineering, and analytics transformation roles across Africa and global markets.
- Designed and deployed dozens of machine learning and LLM-powered solutions – from fraud detection and credit scoring to document intelligence and AI assistants.
- Hands-on experience with Azure AI, Azure AI Foundry, Azure OpenAI, and modern data platforms, including hybrid on-prem and cloud environments.
- Has trained and mentored hundreds of data professionals and leaders – from analysts and engineers to CIOs and chief risk officers – on practical AI adoption.
- Known for translating complex architecture decisions into clear business language, helping executive teams understand trade-offs, risks, and investment cases.
- Regular contributor to executive roundtables and strategy workshops focused on responsible AI, data governance, and operating models for AI at scale.
Throughout the week, Joseph will not only guide you through labs and builds, but also challenge your thinking about how AI, LLMs, and Azure should be governed, funded, and organized inside your institution.
ABMC International – AI & Data Academy
ABMC International is a specialist provider of executive education in AI, data, and digital leadership, serving organizations across Africa, the Middle East, Europe, and North America. The AI & Data Academy focuses on one thing: building practical capability that executives can deploy immediately.
Our programs are aligned with globally recognized professional bodies, and our portfolio includes collaborations and recognitions with organizations such as GAFM, HRCI, and other international certification bodies. This CDA™ – AI Automation & Private LLM Engineering track extends that tradition into the frontier of enterprise AI.
Why Organizations Choose ABMC for AI Training
- Executive-level programs that combine strategy, governance, and hands-on engineering.
- Curricula updated continuously to reflect the latest in LLMs, Azure AI, and enterprise automation patterns.
- Delegates from leading banks, governments, telcos, and conglomerates across multiple regions.
- Certification pathways that strengthen both individual careers and organizational capability.
- Delivery models optimized for senior professionals who need depth without academic overhead.
Investment & Executive Value
$3,590 per delegate
- 7 days intensive, in-person AI and LLM engineering training.
- 2 portfolio-ready capstone projects (AI Analytics Copilot & Enterprise AI Automation System).
- Chartered Data Analyst (CDA™) – AI Automation & Private LLM Engineering certification (upon successful completion).
- Full training materials, code assets, templates, and governance artifacts.
- Daily lunch and refreshments for the duration of the program.
- Post-training support window and access to a practitioner community.
- Certificate of completion and documentation useful for HR and professional bodies.
ROI Justification for Executives & Sponsors
A single well-executed AI initiative – for example, an AI assistant that reduces call handling time, or an automation that cuts manual reconciliations – can unlock six- to seven-figure annual savings. The investment for this program is a fraction of typical consulting fees for similar capability.
Instead of renting expertise from external vendors, your organization builds internal, repeatable capability in AI automation, LLM engineering, and Azure AI. Delegates return with working prototypes and patterns that can be extended across multiple business lines.
- Comparable to 2–3 weeks of senior AI consulting – at a significantly lower total cost.
- Upskills internal leaders who understand your context, risks, and culture.
- Reduces dependency on external vendors for exploratory AI projects.
- Strengthens your positioning with regulators, boards, and shareholders on responsible AI adoption.
Venue: Dallas, Texas – At the Heart of a Growing Tech Corridor
La Quinta Inn & Suites by Wyndham Dallas Frisco Stadium · Dallas, Texas, USA
Located near the Ford Center at The Star and major corporate campuses, the venue offers an environment tailored for focused executive learning with easy access to business amenities, dining, and transport links.
- Convenient access from Dallas/Fort Worth International Airport (DFW) and Dallas Love Field (DAL).
- Modern meeting facilities designed for technology workshops and executive programs.
- High-speed internet and comfortable breakout areas for labs and group work.
- Surrounded by a dynamic business and entertainment district for evening networking.
Accommodation at the venue or nearby hotels can be arranged directly by delegates or through your corporate travel desk. Our team can provide supporting documentation for bookings on request.
Registration: Secure Your Seat in the Executive Cohort
Seats are intentionally limited to maintain a high-engagement, hands-on environment. Please share your details below and our team will contact you with payment options, official invitations, and any visa support documentation required.
- Program dates: 22nd – 30th June 2026 · Dallas, Texas, USA.
- Investment: $3,590 per delegate (excluding travel and accommodation).
- Limited to an executive-sized cohort to maximize interaction and support.
- Group and corporate bookings available on request.
Note: Once your registration is received, our team will respond within two business days with confirmation steps and invoice details.
- Full Name
- Work Email
- Company / Organization
- Job Title (optional but recommended)
- Phone / WhatsApp
- Country & City
- Number of Delegates (if registering for a group)
Registration Form on the Course Brochure
Fields:
Your registration is non-binding until confirmed. Our team will follow up with payment instructions, corporate sponsorship options, and any documentation your HR or L&D teams require.
Executive Cohort · Limited Seats · High Impact
To preserve the hands-on nature of the labs and ensure meaningful interaction with the trainer, attendance is strictly limited. Once the cohort is full, we will operate a waiting list for future intakes.
Given the program runs 22nd – 30th June 2026, early confirmation is strongly recommended to allow for travel, internal approvals, and (where needed) visa processing.
Decision tip: Identify at least one AI initiative you want to accelerate in the next 6–12 months. If this intensive can move that initiative from slide deck to working prototype, the justification becomes clear.
Frequently Asked Questions
If you’re sponsoring a delegate or attending yourself, these answers will help you brief internal stakeholders and plan your participation.
Do you provide visa support for international delegates?
Yes. Once your registration is confirmed and payment arrangements are in progress, our team can issue an official invitation letter and confirmation of training details. These documents are typically sufficient to support visa applications, but final decisions always rest with the relevant embassy or consulate.
What prior experience or technical background is required?
You should have a working understanding of data and analytics – for example, experience with BI tools, SQL, or data projects. Prior hands-on experience with LLMs or Azure AI is not required, but familiarity with cloud concepts is helpful. The program is designed for data analysts, engineers, architects, and executives who are comfortable engaging with technical content.
What laptop and software do I need to bring?
Please bring a laptop capable of running a modern browser and remote development tools (at least 8GB RAM; 16GB recommended). We will use cloud-based lab environments alongside Azure services, so no heavy local installation is required. Pre-event instructions will be shared so your IT team can approve any tools or access requirements in advance.
What certification will I receive, and is it globally recognized?
Delegates who complete the program and meet participation requirements will receive the Chartered Data Analyst (CDA™) – AI Automation & Private LLM Engineering certification from ABMC International – AI & Data Academy. ABMC programs are recognized by global professional networks and aligned with bodies such as GAFM and HRCI, making them suitable for professional development and HR records.
Will session recordings and training materials be provided?
You will receive comprehensive training materials, including slide decks, lab guides, code snippets, and reference architectures. Due to the highly interactive nature of the program, full audio/video recordings are not the primary focus, but key resources will be made available so you can replicate the builds after the event.
Are group discounts or corporate sponsorships available?
Yes. Organizations sending multiple delegates or sponsoring a cohort can access group pricing structures. Please contact us with the expected number of participants and your objectives, and our team will propose suitable options, including tailored in-house follow-ons if required.
What is the cancellation or substitution policy?
If you are unable to attend, a substitute delegate from the same organization may attend at no additional cost, provided we receive written notification before the program start date. Date changes and cancellations are subject to our standard terms, which will be shared with your registration confirmation. In all cases, we work with clients to find practical solutions, including transferring seats to future intakes where possible.
Contact the AI & Data Academy Team
If you need a formal quote, invoice, or internal approval pack for this CDA™ – AI Automation & Private LLM Engineering intensive, our team is ready to support you.
- Support with procurement and vendor onboarding.
- Documentation for L&D, HR, and professional development records.
- Information for group bookings, private cohorts, or in-house delivery.
- Clarification on technical content, labs, and expected outcomes.
Contact Details
Email (Global Support): [email protected]
Phone (Africa / Europe, GMT+3):
+254 20 5002024 / +254 20 5140700
Phone (US & Americas, CST):
+1 430 209 2200
Regions Served: United States & Americas · Africa · Middle East · Europe (onsite and virtual options for follow-on programs).
Please mention “CDA™ – AI Automation & Private LLM Engineering (Dallas, June 2026)” in the subject line when emailing or calling.