AI concepts for developers and technology professionals

अवलोकन

Curious about artificial intelligence? Want to understand what the buzz is about?

This module introduces you to the world of AI.In this module, you learn about the kinds of solutions AI can make possible and considerations for responsible AI practices. Machine learning is the basis for most modern artificial intelligence solutions.

A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.After completing this module, you will be able to:

Describe core concepts of machine learning Identify different types of machine learning Describe considerations for training and evaluating machine learning models Describe core concepts of deep learning Ever wondered how AI can create content, answer questions, and assist with tasks? This module introduces you to the world of generative AI and agents.By the end of this module, you'll be able to:

Describe core concepts of generative AI.

Explain how large language models (LLMs) work. Consider how to create effective prompts for LLMs.

Describe core concepts of agents and agentic AI solutions. Natural language processing (NLP) supports applications that can analyze text to infer semantic meaning.Explore concepts and techniques for text analysis.

Imagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis.After completing this module, you'll be able to:

Identify different scenarios for AI speech Describe how speech recognition works Describe how speech synthesis works Introduction to computer vision conceptsAfter completing this module, you will be able to:

Identify different types of computer vision tasks Describe how filters are used in image analysis Describe the main features of a convolutional neural network (CNN) Describe the main features of a vision transformer (ViT) Describe how generative AI can be used to create images Introduction to AI-powered information extraction conceptsAfter completing this module, you will be able to:

Understand the key concepts of information extraction.

Describe how optical character recognition (OCR) extracts text from images. Explain how form extraction maps extracted text to data fields.

पाठ्यक्रम

• Introduction to AI conceptsIntroduction to AIGenerative AIComputer visionSpeechNatural language processing for text analysisInformation extractionResponsible AIModule assessmentSummary
• Introduction to machine learning conceptsIntroductionMachine learning modelsTypes of machine learning modelRegressionBinary classificationMulticlass classificationClusteringDeep learningExercise - Explore machine learning scenariosModule assessmentSummary
• Introduction to generative AI and agentsIntroductionLarge language models (LLMs)PromptsAI agentsExercise - Explore generative AI agent scenariosModule assessmentSummary
• Introduction to text analysis conceptsIntroductionTokenizationStatistical text analysis.Semantic language modelsExercise - Explore text analyticsModule assessmentSummary
• Introduction to AI speech conceptsIntroductionSpeech-enabled solutionsSpeech recognitionSpeech synthesisExercise - Explore an AI speech scenarioModule assessmentSummary
• Introduction to computer vision conceptsIntroductionComputer vision tasks and techniquesImages and image processingConvolutional neural networksVision transformers and multimodal modelsImage generationExercise - Explore a computer vision scenarioModule assessmentSummary
• Introduction to AI-powered information extraction conceptsIntroductionOverview of information extractionOptical character recognition (OCR)Field extraction and mappingExercise - Explore AI information extractionModule assessmentSummary

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विषय

Artificial Intelligence