What You'll Learn
- Explain the core capabilities, strengths, and ideal use cases of Google Gemini, IBM Watson Analytics, and the Model Context Protocol (MCP).
- Set up and confidently navigate Google Gemini and IBM Watson interfaces, including key settings, features, and workflow areas.
- Apply clear prompt engineering frameworks to consistently generate high‑quality outputs in Gemini, including iterative refinement techniques.
- Build practical no‑code automation workflows for tasks such as summarization, content drafting, data extraction, and productivity boosts using Gemini.
- Import, explore, and prepare datasets in IBM Watson; create effective visualizations and communicate insights with clean, shareable dashboards.
- Describe MCP fundamentals, architecture, and roles, and map common real‑world scenarios where MCP adds value—without writing code.
- Plan and configure no‑code MCP‑enabled integrations to safely connect models with tools, data sources, and business workflows.
- Compare Gemini vs. Watson for different tasks and select the right tool using clear decision criteria (data needs, output type, governance, and speed).
- Execute iterative content generation workflows—from initial draft to structured review and finalization—using templates and checklists.
- Identify and avoid common pitfalls across prompting, data hygiene, visualization clarity, and integration setup to ensure reliable outcomes.
- Design intelligent, repeatable workflows that improve efficiency, reduce manual effort, and align with business or project goals.
- Scope, plan, and present a mini capstone project that combines Gemini, Watson, and MCP, including goals, process, results, and next steps.
Requirements
- Good news: there are no prerequisites. This course is designed for complete beginners and requires no coding, data science, or AI background.
- zero experience in AI, analytics, or programming
- Looking to apply AI practically without code
Who This Course is For
- Professionals, students, creators, or managers looking to apply AI practically without code
- Beginners with zero experience in AI, analytics, or programming
- Students and career changers exploring Generative AI fundamentals and real‑world applications
- Business analysts and managers who want to turn data and prompts into clear, actionable outputs
- Creators, freelancers, and entrepreneurs looking to automate content and workflows without programming
- Team leads and non-technical stakeholders who need to evaluate AI tools and collaborate with technical teams
- Educators and trainers building AI literacy programs or integrating AI into curricula
- Anyone interested in Google Gemini, IBM Watson Analytics, and Model Context Protocol (MCP) without writing code
Your Instructor
SHANKAR NALLATHAMBI
Mechatronics Engineer | Developer | Robotics
4.4 Instructor Rating
76 Reviews
23,721 Students
6 Courses
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