(SCTP) Agentic AI Specialist

About This Course

Upon completion of this course, learners will be able to:
Explain the fundamentals of Generative AI, covering practical uses and ethical considerations across industries.
Define Agentic AI, differentiate it from general automation and traditional machine learning models.
Evaluate Agentic AI’s application in SMEs through real-world case studies and examples.
Compare and contrast AI agents and traditional automation tools in terms of autonomy, adaptability, and decision-making capabilities.
Set up a complete AI development environment with the necessary tools, libraries, and API integrations.
Construct and execute SQL queries to retrieve, manipulate, and manage data in relational databases, and integrate SQL with Python.
Describe the architecture and training processes of large language models and identify their practical use cases.
Design effective prompts using zero-shot, few-shot, and chain-of-thought prompting techniques.
Build simple LangChain applications by integrating Chains, Agents, Memory, and Tools for real-world AI interactions.
Connect and interact with external data sources via APIs and integrate RelevanceAI to process and retrieve vector-based data.
Embed AI agents into web applications and connect RelevanceAI-powered outputs with frontend interfaces.
Automate business tasks and workflows using AI agents and RelevanceAI’s automation tools.
Identify inefficiencies in traditional industries and propose relevant AI agent solutions using RelevanceAI and n8n tools.
Formulate and document strategic AI adoption plans that improve SME operations.
Design and implement end-to-end AI workflows using the n8n platform for specific business use cases.
Build and test AI agents tailored to specific job roles within SMEs using n8n.
Develop and present digital transformation strategies using AI agents to drive SME growth and innovation.
Design AI project plans with ROI projections and explain financial viability.
Plan and communicate AI implementation