An executive-focused, use-case–driven program that covers AI capabilities and limits, data feasibility, model evaluation, LLM patterns, delivery and MLOps, and the org & governance structures to scale AI safely.

Hands-on with LLM APIs, embeddings, vector DBs, and RAG. Build services, evaluate prompts, and ship small features to prod. Intro to fine-tuning, observability, and lightweight MLOps. Deploy a working AI micro-app by the end of the course.

Learn to code with AI-powered tools and platforms to build full-stack applications faster and more efficiently.

Master the art and science of prompt engineering to get consistent, high-quality outputs from AI models. Learn advanced techniques, prompt patterns, and optimization strategies for various use cases.

Master the art and science of prompt engineering to get consistent, high-quality outputs from AI models. Learn advanced techniques, prompt patterns, and optimization strategies for various use cases.

Practical course to design, build, and ship LLM-powered applications—covering product framing, backend orchestration, RAG, quality/evaluation, safety & governance, and deployment/observability.

Practical course to design, build, and ship LLM-powered applications—covering product framing, backend orchestration, RAG, quality/evaluation, safety & governance, and deployment/observability.

Learn to code with AI-powered tools and platforms to build full-stack applications faster and more efficiently.

Learn to code with AI-powered tools and platforms to build full-stack applications faster and more efficiently.

Build and scale your personal brand using AI tools for content creation, social media management, audience engagement, and thought leadership development across multiple platforms.

Learn to build profitable AI automation solutions that monetize workflows, create new revenue streams, and scale business operations using no-code and low-code automation platforms.

Hands-on program to select a base model, curate instruction data, fine-tune with PEFT, evaluate & red-team, serve with (optional) RAG, and productionize with monitoring and governance.

Hands-on program to select a base model, curate instruction data, fine-tune with PEFT, evaluate & red-team, serve with (optional) RAG, and productionize with monitoring and governance.

Hands-on program to select a base model, curate instruction data, fine-tune with PEFT, evaluate & red-team, serve with (optional) RAG, and productionize with monitoring and governance.

Hands-on program to select a base model, curate instruction data, fine-tune with PEFT, evaluate & red-team, serve with (optional) RAG, and productionize with monitoring and governance.

Practical course to design, build, and ship LLM-powered applications—covering product framing, backend orchestration, RAG, quality/evaluation, safety & governance, and deployment/observability.

Learn to code with AI-powered tools and platforms to build full-stack applications faster and more efficiently.