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Courses - IBM Developer
IBM Developer

Courses

Courses provide comprehensive learning content to deepen your expertise. Courses provide a set of learning objectives that define what you will learn from the course modules. Courses may or may not provide badges or certifications for completing them.

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Course

Environmental Intelligence: Geospatial APIs for Data Scientists and Application Developers

Integrate complex data sets to boost the climate resiliency of physical assets, infrastructure, and natural resources.

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Environmental Intelligence: Greenhouse Gas Emissions APIs

Integrate complex data sets to boost the climate resiliency of physical assets, infrastructure, and natural resources.

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Environmental Intelligence: history on Demand APIs

Integrate complex data sets to boost the climate resiliency of physical assets, infrastructure, and natural resources.

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Guided project | cognitiveclass.ai

Build Guardrails for Your AI with Open Source

Protect your company and brand reputation, enhance user safety and trust with advanced measures, ensuring ethical and responsible interactions. Learn to build guardrails quickly and inexpensively using open source technologies.

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Guided Project | cognitiveclass.ai

Analyze Satellite Data to Investigate Plant Health

Use satellite data to analyze plant health and gain insights for sustainable agriculture and plant-health monitoring. Learn techniques for using geospatial APIs and a popular and accurate index to plan for precision agriculture, resource optimization, and sustainable food production.

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Coursera

Applied data science with R specialization

Build your data science skills with R and SQL. Master the ability to transform data into information and insights.

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Coursera

Generative AI: Prompt Engineering Basics

Understand the concepts and relevance of prompt engineering in generative AI models. Practice common prompt engineering techniques and approaches and best practices for writing effective prompts.

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Coursera

Building generative AI applications with Python

Build generative AI-powered applications and chatbots using generative AI models, Python, and related frameworks

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Guided project | cognitiveclass.ai

Getting Started with Machine Learning with PyTorch

Use PyTorch to build, train, and evaluate neural networks. Save the trained model parameters and use them later for inferencing.

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Guided project | cognitiveclass.ai

Reward modeling for generative AI with Hugging Face

Train large language models (LLM) for reward modeling, a cutting-edge area in AI that enhances the capability of models to generate high-quality, contextually appropriate responses.

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Guided Project | cognitiveclass.ai

Build MultiAgent Chatbot with AutoGen (AG2)

Learn to build AI agents using AG2 (AutoGen) multi-agent framework. In this project you will create AutoMed Multi LLM Agent for health treatment recommendations.

Course

Coursera

Applied data science with Python

Learn Python, the most popular programming language for data science and software development. Gain proficiency in using Python libraries like Pandas and Numpy and in developing code using Jupyter notebooks.

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