61 courses available in the Grok directory
Learn to use generative AI platforms and studios for building and deploying AI applications.
Learn to evaluate and benchmark LLM performance using industry-standard metrics and methodologies.
Use AI tools like Grok to accelerate SEO research, content optimization, and search strategy.
Build knowledge graphs to enhance AI applications with structured reasoning and contextual understanding.
Understand AI governance frameworks, ethical considerations, and policy implications for AI deployment.
Build real-time AI applications with streaming data, WebSockets, and live AI inference.
Apply AI and LLMs to cybersecurity tasks including threat detection, analysis, and response.
Practical techniques for text analysis, classification, and extraction using AI models like Grok.
Use AI coding assistants like Grok to accelerate software development workflows and code quality.
Build complex AI workflows and agent systems using LangGraph with LLMs like Grok.
Design cloud architectures optimized for AI workloads including LLM hosting and inference.
Apply AI and LLMs to healthcare use cases including clinical decision support and medical research.
Practical prompt engineering for non-technical business users working with AI tools like Grok.
Combine Python data analysis with AI-powered insights using LLMs like Grok for interpretation.
Learn the Model Context Protocol for building integrations that give AI models like Grok access to tools and data.
Build an AI-augmented content strategy using tools like Grok for research, writing, and optimization.
Understand RLHF techniques used to align AI models like Grok with human preferences and values.
Build AI-powered customer service systems using LLMs like Grok for automated support.
Design and implement production AI pipelines with monitoring, versioning, and scaling.
Leverage AI tools like Grok for marketing automation, personalization, and growth strategies.
Comprehensive introduction to large language models covering architecture, training, and applications.
Master prompt engineering techniques applicable to Grok, ChatGPT, and other modern AI assistants.
Learn to build production applications using LLM APIs including Grok, OpenAI, and Anthropic.
Build AI agents using LangChain framework with tool use, memory, and planning capabilities.