All Courses

Learn Artificial Intelligence Through Practical Projects

Understand AI foundations, generative AI, retrieval, evaluation, responsible use, automation, and how AI capabilities are integrated into real applications.

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What You Will Learn

AI Foundations

  • AI, machine learning, deep learning, and generative AI
  • Models, training, inference, tokens, and embeddings
  • Classification, prediction, extraction, and generation
  • Choosing suitable AI use cases

Generative AI

  • Prompt design and structured outputs
  • Context windows and grounding
  • Tool use and workflow integration
  • Common failure modes and limitations

RAG & Applications

  • Documents, chunking, embeddings, and vector search
  • Retrieval-augmented generation architecture
  • Chatbots, document processing, and assistants
  • API and application integration patterns

Evaluation & Responsible AI

  • Accuracy, relevance, groundedness, and test sets
  • Privacy, security, bias, and human oversight
  • Guardrails, logging, monitoring, and escalation
  • Cost, latency, and operational trade-offs

Practice With Real Patterns

Knowledge Assistant

Retrieve approved information from documents and answer with source-aware responses and escalation.

Document Workflow

Extract structured fields, validate output, route exceptions, and integrate results with a business process.

AI Evaluation

Create test cases, compare responses, record failures, and improve prompts, retrieval, and guardrails.

AI Course Questions

Do I need programming experience?

The conceptual path can start without coding. Application-building exercises are easier with basic Python, C#, JavaScript, or API knowledge. The appropriate path is discussed before enrollment.

Is this only a prompt-engineering course?

No. Prompt design is one component. The course also covers retrieval, application patterns, evaluation, safety, privacy, monitoring, human oversight, and operational trade-offs.

Will I build an AI project?

The learning path is project-based. The exact project and tools depend on the learner’s experience, goals, and available environment.

Start Learning Practical AI

Share your current experience and whether your goal is business use, development, automation, or career learning.

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