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Foundations of AI-Driven Marketing Analytics
Explore AI and machine learning applications in marketing analytics, covering data preparation, KPI analysis, regression, decision trees, and time series forecasting to optimize strategies and drive data-informed decisions.
CRM, AI And Sales Technology For Virtual Selling
Explore CRM systems, AI tools, and ChatGPT to boost virtual selling productivity, automate workflows, strengthen customer engagement, and make smarter sales decisions in digital environments.
Deep Learning for Computer Vision: Techniques & Applications
Master deep learning for computer vision using PyTorch—build CNNs, implement VGG, ResNet, YOLO, and U-Net, and tackle object detection and image segmentation with real datasets.
2I – (Industry Institute) Collaboration for Academic Excellence of HEIs
Explore how Industry-Institute Collaboration bridges academia and industry to boost research, innovation, student employability, and help HEIs achieve higher rankings and accreditation.
Statistics, Bioinformatics, and AI in SABV Research
Explore statistics, bioinformatics, and AI applications in sex as a biological variable (SABV) research, covering statistical errors, hormone control methods, preclinical models, and machine learning techniques.
Ethical and Responsible AI Governance
Explore ethical frameworks and governance strategies for responsible AI, covering key principles, policies, and practices to ensure fair, transparent, and accountable AI systems.
Claude Platform 101
Master building on the Claude Developer Platform—from API requests and agent loops to tool use, MCP servers, and managed agents—with runnable TypeScript demos in every lesson.
DeepSeek in Practice
Master DeepSeek's AI framework through architecture, reasoning, prompting, and deployment. Build intelligent systems, fine-tune models, and develop real-world solutions across automation, legal tech, and enterprise domains.
Developing Gemini Agents with Tool Integration in Python
Explore building autonomous Gemini agents in Python, from tool schemas to iterative function integration, enabling interaction with external systems and solving complex tasks.
Exploring Workflows with Gemini in Python
Explore orchestrating Gemini in Python through workflow patterns—master prompt chaining, intelligent task routing, and parallel async processing to decompose and handle complex AI tasks efficiently.
Building an Image Generator with Go and Gemini
Delve into AI image generation using Go and Gemini—set up APIs, craft prompts, manage images, and build a full-stack web app with a backend service.
Deep Learning: Advanced Backbones and Efficient GPU Training
Master advanced deep learning backbones—ConvNeXt, Vision Transformers, RoPE, SwiGLU—and efficient GPU training with PyTorch Lightning, mixed precision, and W&B experiment tracking.