In-person professional training
Artificial Intelligence and Machine Learning Training Courses
- 41 courses
- 123 cities
- Typically 5-day courses
- Certificate of completion
Dates & fees
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AIM14Advanced Deep Learning Architectures and Transformers
Advance beyond standard neural networks into transformer internals, modern architecture design, efficient adaptation and large-scale optimisation. Diagnose gradient flow, compare multimodal and sparse architectures, appl
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AIM35Advanced Hyperparameter Tuning and Model Selection
Advance beyond routine model tuning into rigorous experimental optimisation. Design conditional search spaces, apply Bayesian and multi-fidelity methods, optimise competing objectives, use nested evaluation, quantify unc
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AIM37Adversarial Machine Learning and Model Robustness
Strengthen machine-learning systems against adversarial and operational threats. Build threat models, test evasion and poisoning attacks, assess privacy and extraction risks, compare defences and integrate robust evaluat
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AIM41AI and Human-Centered Design Essentials
Learn to design intelligent, ethical, and user-focused AI solutions through human-centered design and creative innovation principles
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AIM28AI Based Optimization and Heuristic Algorithms
Develop practical expertise in AI-based optimisation and heuristic algorithms. Formulate complex decisions, implement local, evolutionary and swarm search, manage constraints and multiple objectives, apply hybrid methods
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AIM18AI Driven Predictive Maintenance and Asset Management
Apply AI to predictive maintenance and asset-management decisions. Prepare sensor and maintenance data, engineer degradation features, build anomaly, failure and remaining-life models, define actionable alerts, integrate
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AIM12AI Ethics Governance and Responsible Innovation
Build a practical framework for AI ethics, governance and responsible innovation. Assess stakeholder impacts, bias, fairness, privacy and transparency; assign accountable roles; establish lifecycle controls; and create t
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AIM32AI for Internet of Things and Smart Devices
Develop practical expertise in AI for IoT and smart devices. Engineer sensor data, build anomaly and forecasting models, design edge–cloud inference, optimise for device constraints, and manage secure model updates, drif
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AIM23AI Powered Anomaly Detection and Fraud Prevention
Develop practical expertise in AI-powered anomaly detection and fraud prevention. Build unsupervised, supervised, graph and sequence models; manage rare events and delayed labels; optimise alerts for investigation capaci
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AIM36AI Product Management and Strategy Development
Turn AI opportunities into viable, responsible products. Prioritise use cases, define evidence-based requirements, select build-buy-partner pathways, design experiments and metrics, plan adoption, govern risk and create
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AIM38AI Project Lifecycle Management and Best Practices
Discover essential techniques and methodologies to effectively plan, execute, and manage AI projects, ensuring optimal performance and successful outcomes.
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AIM39AI Regulation and Compliance in Industry Applications
Explore the essentials of AI regulation and compliance, focusing on industry applications to ensure ethical, legal, and effective AI deployment.
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AIM11Applied Machine Learning for Business Decision Making
Apply machine learning to real business decisions without unnecessary technical complexity. Learn to frame valuable use cases, assess data readiness, compare models, interpret performance and error costs, challenge assum
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AIM19Automated Machine Learning Tools and Best Practices
Use automated machine learning without sacrificing judgement or control. Configure valid AutoML workflows, automate preprocessing and tuning, challenge leaderboard results, assess calibration and fairness, and deploy rep
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AIM17Bayesian Machine Learning and Probabilistic Modeling
Develop rigorous practical competence in Bayesian machine learning and probabilistic modelling. Construct priors and likelihoods, perform posterior inference, build hierarchical and latent-variable models, validate uncer
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AIM05Computer Vision and Image Recognition Applications
Develop professional competence in computer vision and image recognition across the complete solution lifecycle. Design visual datasets, build classification, detection and segmentation models, evaluate robustness, apply
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AIM22Computer Vision for Autonomous Systems and Robotics
Develop practical expertise in computer vision for autonomous systems and robotics. Apply camera calibration, detection, segmentation, depth, tracking, visual odometry, SLAM and sensor fusion while designing real-time pe
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AIM09Data Preparation and Feature Engineering for Machine Learning
Develop production-level competence in data preparation and feature engineering for machine learning. Assess provenance and quality, prevent leakage, construct valid temporal and domain features, select representations,
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AIM03Deep Learning Fundamentals and Neural Network Design
Develop a rigorous foundation in neural-network design, training and evaluation. Build, diagnose and improve deep-learning systems; compare modern architectures; apply transfer learning; and design production solutions t
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AIM15Edge AI and Embedded Machine Learning Solutions
Develop practical expertise in edge AI and embedded machine learning. Select hardware, design compact models, apply quantisation, pruning and distillation, benchmark accuracy against latency, memory and power, and plan s
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AIM40Emerging Trends and Future Directions in Artificial Intelligence
Explore the latest advancements in AI technology, understand emerging trends, and discover potential future directions shaping the world of artificial intelligence.
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AIM08Explainable AI and Model Interpretability Techniques
Develop rigorous professional competence in explainable AI and model interpretability. Apply global, local, attribution, counterfactual and deep-model techniques; test explanation fidelity and stability; communicate limi
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AIM27Federated Learning and Privacy Preserving AI
Develop practical expertise in federated learning and privacy-preserving AI. Design cross-device and cross-silo systems, implement federated optimisation, apply secure aggregation and differential privacy, control leakag
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AIM30Financial Forecasting and Algorithmic Trading with AI
Develop disciplined expertise in AI financial forecasting and algorithmic-trading research. Engineer market features, build forecasts, convert signals into positions, conduct walk-forward cost-aware back-tests, assess ri
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AIM01Foundations of Artificial Intelligence and Machine Learning
Develop a rigorous, practical understanding of artificial intelligence and machine learning across the complete solution lifecycle. Learn to frame high-value business use cases, assess data readiness, select and validate
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AIM07Generative AI Models and Applications
Develop advanced practical competence in generative AI across model foundations, prompt design, retrieval augmentation, model adaptation, evaluation and secure deployment. Build evidence-based language and multimodal sol
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AIM20Graph Neural Networks and Network Analysis
Develop practical expertise in graph neural networks and network analysis. Construct graph data, analyse structural patterns, implement message-passing, attention and link-prediction models, evaluate without network leak
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AIM31Healthcare Analytics and Predictive Modeling using AI
Develop practical competence in healthcare analytics and AI predictive modelling. Construct valid cohorts, prepare longitudinal data, build risk and outcome models, evaluate calibration and equity, and design controlled
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AIM25Human Centered AI Design and Interaction
Design AI products around human goals, workflow realities and responsible interaction. Conduct user research, allocate roles between people and automation, communicate uncertainty, support correction and oversight, and e
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AIM10MLOps and Machine Learning Model Deployment
Develop practical competence in MLOps and machine-learning deployment. Design production architectures, package and serve models, automate validation and release, monitor drift and performance, and establish secure retra
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AIM34Multi Modal AI Combining Vision Text and Audio
Develop practical expertise in multimodal AI combining vision, text and audio. Align data, build shared representations, apply fusion and cross-attention, adapt pretrained models, evaluate cross-modal behaviour, and desi
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AIM04Natural Language Processing and Text Analytics
Develop advanced practical competence in natural language processing and text analytics. Design reliable corpora, build classical and transformer-based pipelines, extract entities and themes, enable semantic retrieval, e
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AIM24Quantum Machine Learning Concepts and Algorithms
Build a rigorous foundation in quantum machine learning without exaggerated claims. Simulate quantum circuits, encode data, implement variational and kernel methods, assess noise and resource limits, compare classical ba
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AIM16Recommendation Systems Design and Optimization
Design and optimise recommendation systems for real products and services. Build collaborative, content-based, factorisation and ranking approaches; address sparse data and cold start; evaluate relevance and diversity; a
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AIM06Reinforcement Learning Strategies and Implementation
Develop rigorous practical competence in reinforcement learning for sequential decisions. Formulate Markov decision processes, implement value and policy methods, evaluate agents in simulation and offline data, manage ex
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AIM29Sentiment Analysis and Social Media Intelligence
Turn social conversation into defensible business intelligence. Design responsible listening data, build sentiment and transformer models, analyse aspects, emotion and stance, identify trends and network influence, and c
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AIM21Speech Recognition and Audio Processing with Deep Learning
Develop practical expertise in speech recognition and deep audio processing. Prepare speech corpora, extract spectral representations, train convolutional and transformer models, build transcription and speaker-aware app
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AIM02Supervised Learning Algorithms and Techniques
Build advanced practical competence in supervised machine learning for high-stakes prediction and classification. Develop defensible workflows for problem formulation, data design, regression, classification, ensemble mo
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AIM33Sustainable AI and Energy Efficient Model Design
Design more sustainable and energy-efficient AI systems through measurable engineering choices. Assess training and inference impact, right-size models, apply compression, optimise hardware and serving, compare edge–clou
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AIM26Synthetic Data Generation Techniques for AI
Develop practical expertise in synthetic-data generation for AI. Compare statistical, simulation and generative techniques across tabular, temporal and unstructured data; evaluate fidelity, utility and privacy; and estab
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AIM13Time Series Forecasting with Machine Learning Methods
Develop practical expertise in time-series forecasting with statistical and machine-learning methods. Analyse temporal structure, engineer valid features, perform rolling back-tests, quantify uncertainty, compare models
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Corporate & in-house training
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Artificial Intelligence and Machine Learning training — frequently asked questions
How long are Artificial Intelligence and Machine Learning courses?
Most Artificial Intelligence and Machine Learning courses at EPW run for 5 days (41 of 41 courses). Each course page shows the full daily agenda.
Where can I attend Artificial Intelligence and Machine Learning training?
EPW delivers Artificial Intelligence and Machine Learning courses in 123 cities, including Aarhus, Abuja, Akureyri, Amsterdam, Andorra la Vella. Use the city picker on this page to jump straight to upcoming dates, fees and registration for this category.
Do I receive a certificate?
Yes. Every participant who completes an EPW Artificial Intelligence and Machine Learning course receives a certificate of completion issued by EPW Training.
Can EPW deliver Artificial Intelligence and Machine Learning training in-house for my team?
Yes. We design tailored in-house programmes delivered at your premises or a venue of your choice, aligned to your objectives and schedule. Tell us the topic, number of participants and preferred location and we will send a proposal.
How do I register for a Artificial Intelligence and Machine Learning course?
Choose your city with the dates picker, open a course, pick a start date and register online in a few minutes. You can also request a callback and an advisor will complete the booking with you.
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- Artificial Intelligence and Machine Learning Courses (41)
- Auditing, Governance, and Risk Compliance Training Courses (21)
- Civil Engineering Training Courses (42)
- Construction Engineering Training Courses (40)
- Contracts Management and Law Training Courses (60)
- Electrical Power and Energy Engineering Training Courses (45)
- Environmental , Health and Safety - EHS Training Courses (40)
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