Results for "ai for software engineering"
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, AI Security, Retrieval-Augmented Generation, Docker (Software), Prompt Engineering, GitHub Copilot, Token Optimization, Agentic Workflows, AI Orchestration, LLM Application, Debugging, Serverless Computing, Software As A Service, Model Context Protocol, Amazon Web Services, Large Language Modeling, Rust (Programming Language), Code Review, Natural Language Processing, GitHub
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, Software Design Documents, Software Design, AI literacy, AI Integrations, Software Architecture, Agentic Workflows, Continuous Integration, Software Development, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Security, Software Engineering, Code Review
Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
LearnKartS
Skills you'll gain: Agentic systems, Model Context Protocol, Vector Databases, Gemini, Generative AI Agents, Google Gemini, Retrieval-Augmented Generation, Artificial Intelligence, Generative AI, Embeddings, MongoDB, Node.JS, API Design, TypeScript, PostgreSQL, Web Applications, Systems Architecture, Database Management, Debugging, Machine Learning
Skills you'll gain: AI Orchestration, AI Workflows, LangChain, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, AI Integrations, Prompt Engineering, Large Language Modeling, Software Design Patterns, Software Development, Python Programming, Application Development
Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
What brings you to Coursera today?
Microsoft
Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization
Skills you'll gain: Vibe coding, Prompt Engineering, Prompt Patterns, AWS SageMaker, AI Integrations, Generative AI Agents, Amazon Web Services, Infrastructure as Code (IaC), Prompt Engineering Tools, AI Security, AI Enablement, Generative AI, AI Personalization, AWS CloudFormation, AI Workflows, Computer Programming, Computer Programming Tools, Artificial Intelligence, Autoencoders, Building Codes
Microsoft
Skills you'll gain: Generative AI, Responsible AI, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Azure DevOps Pipelines, AI Security, Fine-tuning, Data Ethics, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, Microsoft Azure, ChatGPT, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Python Programming
Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Engineering Tools, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Transfer Learning, Data Pipelines, Model Training
Scrimba
Skills you'll gain: Model Context Protocol, Prompt Engineering, Retrieval-Augmented Generation, LangChain, OpenAI API, Prompt Patterns, Embeddings, Image Analysis, Responsible AI, AI Workflows, OpenAI, LLM Application, AI Integrations, Cloud Deployment, Cloud Applications, Multimodal Prompts, Memory Management, Hugging Face, Vector Databases, Software Engineering
Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, OpenAI API, Model Deployment, OpenAI, AI Integrations, Tool Calling, LLM Application, Enterprise Application Management, OAuth, Model Context Protocol, Prompt Engineering, Performance Tuning, Real Time Data, Interoperability, Prompt Patterns, Application Deployment
In summary, here are 10 of our most popular ai for software engineering courses
- AI Tooling: Pragmatic AI Labs
- Generative AI for Software Developers: IBM
- Machine Learning and Deep Learning for Software Engineers: Board Infinity
- Agentic AI Engineering: RAG, MCP & MERN: LearnKartS
- Building AI Agents and Agentic Workflows: IBM
- Machine Learning Made Easy for Software Engineers: Coursera
- Microsoft AI & ML Engineering: Microsoft
- Generative AI-Powered Assistant for Developers: Packt
- Microsoft Generative AI Engineering: Microsoft
- Generative AI Engineering with LLMs: IBM
