Cursussen
18901 Cursussen
Navigate Sales Funnel
Master the B2B sales funnel by learning to align activities with buyer readiness across six core stages—prospect, qualify, discover, propose, negotiate, and close—to improve deal planning and outcomes.
Integrate AI Insights
Explore practical skills for connecting AI models to project content, automating insights, and refining outputs for accuracy—ideal for intermediate professionals using Confluence and OpenAI APIs.
Explore AI Features
Discover how AI is embedded in Confluence, from content suggestions to auto-summaries, and apply these features hands-on to streamline documentation and coach teams effectively.
Google Cloud Generative AI Leader Training 2025
Master Google Cloud's Generative AI tools, including Gemini and Vertex AI, to scale enterprise AI solutions, apply responsible AI practices, and prepare for the Generative AI Leader certification.
AI-Enhanced Scrum Master – Smarter Agile Automation
Master AI-driven Scrum practices using ChatGPT, Claude, and Jira to automate backlog creation, sprint planning, and agile ceremonies while exploring ethical AI adoption for enhanced team efficiency.
Generative AI & AWS AI Practitioner Certification
Master Generative AI and AWS tools like Amazon Bedrock and SageMaker, while preparing for the AWS AI Practitioner Certification exam with hands-on model deployment and fine-tuning skills.
K8sGPT Essentials - Unlocking Kubernetes Insights with AI
Master K8sGPT to enhance Kubernetes management with AI-powered insights, streamline workflows, analyze real-time issues, and integrate with tools like Prometheus, Grafana, and Claude Desktop.
Docker for AI/ML
Master Docker for AI/ML workflows—containerize apps, deploy LLMs locally, simulate production ML systems, and integrate MLFlow, Jupyter, and Docker Compose in hands-on projects.
Code for Schools: Digitech Teacher Training
Gain insights into coding fundamentals and practical teaching strategies for Years 7–8 classrooms, aligned to the Australian National Curriculum, with ready-to-use resources developed with Amazon.
Building and Applying Your Neural Network Library
Master building a reusable neural network R package, from refactoring components to training on real-world housing data for regression tasks.
Training Neural Networks: the Backpropagation Algorithm
Master the backpropagation algorithm by implementing loss functions, gradient descent, and SGD optimizers to train neural networks using R.
The MLP Architecture: Activations & Initialization in R
Master MLP architecture in R by stacking layers, implementing ReLU and Softmax activations, and applying weight initialization strategies like He and Xavier for effective neural network training.