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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

Guided project | cognitiveclass.ai

Performing CRUD Operations with Python

Create a Flask application to service all the REST APIs for adding, retrieving, updating, and deleting products. You will learn how to use CRUD operations in Python, and then you’ll create the REST API endpoints, run and test the server with cURL, and use POSTMAN to test the REST API endpoints.

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.

Course

Coursera

Building generative AI applications with Python

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

Course

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.

Course

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.

Course

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.

Course

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.

Course

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.

Course

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.

Course

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

Guided project | cognitiveclass.ai

Create Your Own ChatGPT-like Website with Open Source LLMs

Learn how to use an open-source LLM on your machine, how to host your LLM to create a chatbot website using HTML, CSS, JavaScript, and Python, and how to deploy your chatbot website to the web

Course

Coursera

Data analysis with Python

Get hands-on experience and learn important techniques for preparing your data for analysis. Then, learn how to gain a better understanding of your data through exploratory data analysis.

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