Many digital programmes stop at putting forms online, while the real gains come when data and models change how decisions are made and work is done. Loan applications can be read and scored in minutes, sensor readings can trigger maintenance before a breakdown, and customer queries can be routed and answered automatically. Across ten days you learn to find these opportunities and deliver them: mapping processes and their data with process mining, assessing digital and data maturity, modernising legacy reporting onto cloud data platforms and lakehouse architectures, and designing machine learning into end-to-end workflows.
Hands-on labs use Python, pm4py, Tesseract OCR, FastAPI and cloud ML services such as Azure Machine Learning and Amazon SageMaker to build intelligent document processing, real-time scoring APIs, event-driven pipelines and a retrieval-augmented generative AI assistant. Change management, digital operating models and adoption metrics receive equal weight. The programme is aimed at digital transformation leads, data and analytics managers, enterprise architects, process improvement specialists and product owners in banking, insurance, telecoms, utilities and government. You finish with a transformation blueprint for one process in your organisation. Classroom, online and in-house formats are available, each with a CPD-accredited certificate.
Digital transformation has entered a second phase. Having moved services online and installed core systems, organisations now hold large volumes of transactional, mobile, sensor and document data, and the next step is to use that data to automate decisions, personalise services and redesign processes. Machine learning is the engine of this phase, but models built in isolation from processes, platforms and people rarely change how an organisation actually works.
The Digital Transformation in Data Science & Machine Learning in Practice Training Course shows how to embed analytics and machine learning in the fabric of an organisation. Days one to five cover the foundations: gauging how ready the organisation is, discovering process bottlenecks from event logs, choosing where machine learning adds most value, moving data onto modern cloud platforms and preparing it for automation, with trust and data protection built in. Days six to ten move into delivery at scale with intelligent document processing, real-time decision services, streaming and event-driven integration, generative AI with retrieval-augmented generation, MLOps for many models, and the operating model, skills and change management needed for lasting adoption.
Every topic is practised. Participants work in Python notebooks and cloud sandboxes, automate a paper-heavy process from scanned document to decision, publish a model behind an API and build a small assistant over internal documents. They also redesign one of their own organisation's processes and leave with a costed roadmap for it.
After the ten days, participants will be able to:
Participants leave with:
The programme moves between process redesign and building working solutions. Participants learn through:
Day 1: Data-Driven Digital Transformation
Day 2: Process Discovery and Opportunity Mapping
Day 3: Modern Data Platforms
Day 4: Machine Learning for Process Automation
Day 5: Data Governance and Trust in Digital Services
Day 6: Intelligent Document Processing
Day 7: Real-Time Decision Services and Integration
Day 8: Generative AI in Transformation
Day 9: Scaling with MLOps and Cloud ML Services
Day 10: Operating Model, Change and the Transformation Project
The course is built for professionals driving digital change with data, including:
On attending all ten days and completing the hands-on labs and the integrated transformation project, participants are awarded a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
The roadmap, maturity assessment and prototypes built during the course give each participant tangible evidence of applied digital transformation skills to share with line managers and sponsors.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Digital Transformation in Data Science & Machine Learning in Practice programme, you'll be able to assess an organisation's digital and data maturity and identify where machine learning can change processes, not just reports, map business processes from event logs with process mining and quantify delays, rework and automation potential, design target architectures for data and machine learning on cloud and hybrid platforms, including lakehouse patterns, and automate document-heavy workflows with ocr, field extraction and classification models. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is built for professionals driving digital change with data, including: Digital transformation leads and chief digital or innovation officers, Heads of data, analytics and business intelligence, Enterprise and solutions architects, Data scientists and machine learning engineers moving into transformation roles, Process improvement, Lean Six Sigma and business process management specialists, Product owners and digital channel managers in banking, insurance and telecoms, ICT and e-government officers in ministries, county governments and public agencies, and Operations managers in logistics, utilities, manufacturing and agribusiness.
Digital Transformation in Data Science & Machine Learning in Practice Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Digital Transformation in Data Science & Machine Learning in Practice Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Digital Transformation in Data Science & Machine Learning in Practice starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Digital Transformation in Data Science & Machine Learning in Practice Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Digital Transformation in Data Science & Machine Learning in Practice Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Digital Transformation in Data Science & Machine Learning in Practice Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Digital Transformation in Data Science & Machine Learning in Practice Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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