Automate the Busywork: Practical LLM Workflows for Teams
Mastering Conversational AI & LLMs: From Fundamentals to Enterprise Applications
Dr Kolawole Akinbaleye
English
Category / Subcategory
1 Objectives
Has Prerequisites
USD 29.99
Price
Beginner
Level
Course Snapshot
What The Course Includes
11.8 hrs total course content
Access on Mobile and TV
0 coding exercises
31 Articles
31 Downloadable resources
Certificate of completion
The Skills You'll Gain
Understand the fundamentals of Large Language Models (LLMs) and their role in conversational AI.
Apply prompt engineering techniques to design effective inputs and improve AI responses.
Build and evaluate conversational flows for chatbots and virtual assistants.
Assess the ethical, social, and business implications of deploying conversational AI systems.
Analyze and troubleshoot model outputs to ensure accuracy, reliability, and user trust.
Demonstrate practical skills in leveraging LLMs for real-world applications such as customer support, content generation, and knowledge management
Course Overview
What's Inside
This course provides learners with a practical and comprehensive introduction to Large Language Models (LLMs) and Conversational AI. Participants will explore the fundamentals of natural language processing, the architecture and functionality of modern LLMs, and how they are applied to build intelligent conversational systems such as chatbots, virtual assistants, and customer service platforms. Through interactive modules, learners will gain hands-on experience in designing prompts, fine-tuning models, and evaluating AI-generated responses for accuracy, clarity, and ethical considerations.
The course is designed for students, professionals, and enthusiasts who want to understand how conversational AI transforms industries and how to leverage these technologies effectively. No prior coding experience is required, though a basic familiarity with AI concepts is helpful.
By the end of the course, learners will be able to analyze LLM outputs, design adequate conversational flows, apply best practices in prompt engineering, and evaluate the ethical and practical implications of deploying AI-powered systems in real-world settings.
Course Curriculum
5 sections - 31 items - 1 lectures - 25 quizzes - 5 assignments
Section 1: Conversational AI
1 lecture, 6 other items
Section 2: Understanding LLMs
6 other items
Section 3: Prompt Engineering
6 other items
Section 4: Ethics & Bias
6 other items
Section 5: Applications
6 other items
Prerequisites
- 1. Computer literacy: web browsing, screenshots/file uploads, basic troubleshooting. 2. Clear written English (for prompts and short reflections) 3. Familiarity with spreadsheets (Excel/Google Sheets) for simple exercises Optional but helpful- API concepts Access to a modern browser and a free LLM account (e.g., ChatGPT/Claude/Gemini) for hands-on practice. No prior programming or ML background is required.
Meet Your Instructor
Dr Kolawole Akinbaleye
2 courses taught
2 students