Build the skills to design, deploy and operate production ML and AI systems that solve complex organisational challenges and drive innovation.
This Academy equips engineers and technical professionals to turn ML and AI from prototypes into reliable, scalable products. You will learn how to design, build and maintain systems that deliver measurable impact, from classical ML to LLMs and generative models.
Through practical projects you will apply MLOps, data engineering, model monitoring and responsible AI practices, so solutions are not only accurate but robust, secure and cost-effective in production.
Many organisations have proofs of concept that never reach production. Real value comes from systems that run reliably, integrate with products, comply with governance and scale with demand. ML and AI engineers make this possible by combining modelling expertise with software engineering, data pipelines, cloud services and operational controls.
Designed for developers, data scientists, data engineers and technical product professionals who want to build and operate production-grade ML and AI systems. It is ideal for teams moving from experimentation to live deployment and ongoing optimisation.
By the end of the programme, you’ll be able to:
– Design end-to-end ML solutions that address defined business problems and success metrics.
– Build, fine-tune and integrate models, including LLMs and deep learning, using modern frameworks.
– Implement MLOps practices for versioning, testing, CI/CD and automated deployment.
– Engineer reliable data pipelines for batch and streaming, including feature stores and real-time serving.
– Deploy and operate models on cloud platforms, selecting services for performance, security and cost.
– Monitor model quality, drift and performance, and put in place alerts, rollbacks and retraining loops.
– Apply responsible, explainable and human-centred AI methods to manage risk and meet governance needs.
– Communicate architecture, trade-offs and results to stakeholders, and measure ROI from AI initiatives.
Decoded has helped global organisations turn advanced analytics and AI into real business outcomes. Our blended learning Academy programmes combine expert teaching with hands-on projects, code reviews and practical tooling, so every learner can turn skills into production impact.
Refresh Python for data science and the maths and statistics that underpin modelling. Complete the onboarding programme to align tools and workflows.
Survey current AI and ML approaches, emerging trends and responsible AI principles. Position ML engineering and MLOps within product delivery.
Learn agile product practices, team roles and collaboration. Plan ML and data science workflows, stakeholder management and value cases for AI.
Apply machine learning and probabilistic methods. Use decision theory and risk analysis to automate decisions with confidence bounds and controls.
Build deep neural networks for text, image and audio. Apply NLP and computer vision to real datasets, with attention to data quality and labelling.
Work with transformers and diffusion models. Use embeddings, vector stores, knowledge graphs and retrieval-augmented generation to ground outputs.
Expose models through APIs and services. Build front-ends, dashboards and simple UIs to integrate intelligence into products and internal tools.
Use cloud infrastructure and native ML services. Manage identity, security, scaling and cost, and choose managed services for faster delivery.
Design traditional and streaming data systems. Build pipelines for training and inference, and enable online learning with streaming inputs.
Adopt best practices for production ML. Orchestrate containers and configuration, manage the end-to-end lifecycle and document architectures.
Implement logging, metrics and tracing for models and data. Detect drift, manage performance and quality, and automate retraining and rollback.
Understand assumptions and limits of ML. Apply human-centric design, ethics, interpretable methods and explainable AI to debug and de-risk systems.
If you’re ready to turn Data and AI into results, leave your details and we’ll recommend the right programme for your goals and team.
