What will you learn in Generative AI Assistants Specialization Course
Understand the foundations of generative AI assistants and how they differ from traditional assistants
Build and evaluate intelligent assistants using tools like LLMs, APIs, and retrieval-augmented generation (RAG)
Implement memory, tool use, and planning capabilities in AI assistant workflows
Explore prompt engineering strategies for guiding assistant behavior and responses
Apply ethical principles and design considerations in building AI-powered assistants
Deploy real-world assistants for tasks like writing, research, coding, and customer interaction
Program Overview
Course 1: Introduction to Generative AI Assistants
⏳ 1 week
Topics: What are generative AI assistants, key components, and real-world examples
Hands-on: Explore assistant architecture including context windows, memory, and conversation loops
Course 2: Tools, Memory, and Retrieval
⏳ 1 week
Topics: Tool use, vector databases, retrieval-augmented generation (RAG), memory handling
Hands-on: Connect an AI assistant to external tools and build memory-enhanced responses
Course 3: Prompting and Planning
⏳ 1 week
Topics: Prompt engineering, ReAct framework, multi-step task decomposition
Hands-on: Write prompts and build assistants that can plan and execute tasks step-by-step
Course 4: Assistant Applications and Deployment
⏳ 1 week
Topics: Use cases in business, education, coding, and research; deployment strategies
Hands-on: Build and test a fully functioning generative assistant for a real-world scenario
Course 5: Evaluation, Ethics, and Design Considerations
⏳ 1 week
Topics: Evaluation metrics, bias, safety, transparency, user-centered design
Hands-on: Test your assistant and implement features to ensure responsible use
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Job Outlook
Generative AI assistants are rapidly transforming industries like education, customer support, and product development
Skills in building AI assistants are in demand for roles like Prompt Engineer, AI Product Designer, and AI Automation Specialist
Companies seek professionals who can integrate LLM-based assistants into enterprise workflows
Freelancers and developers can build custom assistants for clients using emerging tools and APIs
Specification: Generative AI Assistants Specialization
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