Chatbots

Building conversational AI interfaces and bots

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Automate the Busywork: Practical LLM Workflows for Teams

Automate the Busywork: Practical LLM Workflows for Teams

Dr Kolawole Akinbaleye

$29.99

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Automate the Busywork: Practical LLM Workflows for Teams

Automate the Busywork: Practical LLM Workflows for Teams

Dr Kolawole Akinbaleye

$29.99

Start Learning

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Timothy D Henize

Timothy D Henize

I help small businesses and teams bridge the gap between human expertise and AI efficiency. With 18 years of leadership and project management experience as Director of Operations at Cincinnati Children’s Hospital Medical Center, I know what it takes to manage people, processes, and technology at scale. After earning my post-graduate certificate in AI & Machine Learning from Purdue University, I founded The AI Handyman LLC , where I design practical AI workflows, automation tools, and education programs that make cutting-edge tech accessible to everyone, not just seasoned developers. On Phlare, my goal is to demystify AI for real-world use: showing business owners, educators, and professionals how to use AI ethically, efficiently, and creatively to save time and grow their personal brands or businesses.

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Emese Hamilton

Emese Hamilton

I am an AI educator and advisor who helps everyday individuals, professionals, small business owners, teachers, seniors, and military families use AI clearly, safely, and productively. I teach Essential AI, how modern models such as ChatGPT, Perplexity, Gemini work, practical prompting, workflow design, and safety/ethics - using plain language, live demonstrations, and hands-on practice. Background With more than 20 years of international professional experience, I have worked across education, creative industries, publishing, and executive support. My background in communication and project management has shaped my ability to make complex ideas approachable and practical. This foundation allows me to bring empathy, structure, and clarity into every learning experience I design. AI Experience and Impact I have delivered interactive workshops and one-on-one coaching for writers and publishers, education teams, creative businesses, and community organizations supporting military families and seniors. I specialize in translating complex AI concepts into simple, step-by-step habits that learners can apply immediately. My approach bridges technical understanding with real-world relevance, helping individuals and teams feel confident using AI in daily life and work. Expertise Inclusive, neurodiversity-aware instruction · Prompt design · Everyday automations · AI literacy and safety Ongoing Training and Eligibility I am in continuous training and professional development in the field of artificial intelligence, actively studying advancements in large language models, responsible AI, and applied AI education. This ongoing learning ensures that my knowledge remains current, making me fully qualified and eligible to teach AI confidently and accurately. Results Learners report reduced “blank-page” time, faster research and drafting, clearer decision-making, stronger communication and negotiation skills, and renewed confidence in using AI responsibly. My teaching style is calm, structured, and human-centered - no jargon, just real examples and room for curiosity.

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Dr Kolawole Akinbaleye

Dr Kolawole Akinbaleye

Dr. Kolawole Akinbaleye is an Adjunct Professor and seasoned Program Manager with over 15 years of experience leading global initiatives in program management, AI adoption, SAP implementation, and large-scale technology transformation. He has worked with Fortune 500 companies such as Deloitte, Chevron, Apple, and National Grid, driving enterprise change and digital innovation. With a PhD in Management Information Systems and multiple professional certifications, Dr. Akinbaleye bridges academic excellence with real-world practice. His expertise spans program governance, cloud solutions, AI strategy, and compliance delivery, making him well-positioned to equip learners with future-ready skills.

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James Hammer

James Hammer

James Hammer is a theatre educator turned AI collaboration expert who documented an extraordinary transformation: going from single-domain educator to multi-sector professional expert in 17 months through strategic, collaborative partnership with AI. With 23 years in education and 19 years in technical theatre, James brings a unique perspective to AI collaboration. His longitudinal study, Cognitive Adaptation Through AI Collaboration , demonstrated how sustained AI partnership created 303 professional deliverables across 13 project areas in 5 different business sectors, generating over $750,000 in qualified opportunities—proving the methodology's real-world value. James holds a Bachelor of Science in Education, a Professional Diploma in Digital Learning Design and an AI for Learning Certification with Distinction. As founder of Mental Forge Media, LLC, he specializes in helping business leaders recognize that AI collaboration uses the exact same delegation skills they already possess with their best team members. His proprietary Organic Delegation Framework transforms AI intimidation into confidence by helping professionals recognize existing expertise rather than learning new technology. James has successfully delivered live workshops since July 2025 and now brings this proven approach to comprehensive online learning through Fusion Foundations.

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Chinaza Imala, MBA

Chinaza Imala, MBA

Chinaza Imala is an AI Adoption Trainer and Consultant dedicated to helping professionals and organizations embrace artificial intelligence with confidence, strategy, and impact. As the founder of nazAi Edge , Chinaza delivers adaptive training that empowers executives, analysts, healthcare professionals, educators, and creatives (just to name a few) to integrate AI tools into their workflows—boosting efficiency, reclaiming valuable time, and unlocking innovation. He is also a Creative Partner at Head AI, the World's First AI Marketer. Certified by ServiceNow as an IT Leadership Professional, his client portfolio includes professionals at leading organizations such as Oracle, Getty Images, and Eaton , where he has guided them through cautious and effective AI adoption strategies tailored to their industries. Known for blending data-driven decision-making with human-centered insight, Chinaza ensures that AI becomes a practical enabler rather than a disruptive challenge. With an MBA in Operations and Supply Chain Management and a background in Engineering , Chinaza has built a multidisciplinary career across Africa, North America, and Europe , giving him a global perspective on technology adoption and change management. Chinaza is also the Producer of Nazalytics , a podcast recognized by Professors in North America and Europe as a valuable resource for students learning about innovation & technology management and digital transformation. As a cautious AI adoption advocate , Chinaza combines technical expertise, global experience, and a passion for education to help organizations harness AI responsibly and sustainably. His media contributions and training sessions reflect his mission: to make AI adoption accessible, ethical, and transformative for all.

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Featured course

Many learners enjoyed this highly rated course for its engaging content.

Automate the Busywork: Practical LLM Workflows for Teams
Chatbots

Automate the Busywork: Practical LLM Workflows for Teams

$29.99

Professor

Dr Kolawole Akinbaleye

All Chatbots courses

Not sure? All courses have a 30-day money-back guarantee

RAG with LangChain

RAG with LangChain

Learn how to code a basic Retrieval Augmented Generation pipeline with Python & LangChain

Intermediate

ACTIVE

ProfessorTimothy D Henize
Essential AI - The Basics

Essential AI - The Basics

Your Path to Simple, Practical, and Effective AI Skills

Beginner

ACTIVE

ProfessorEmese Hamilton
Automate the Busywork: Practical LLM Workflows for Teams

Automate the Busywork: Practical LLM Workflows for Teams

Mastering Conversational AI & LLMs: From Fundamentals to Enterprise Applications

Beginner

ACTIVE

ProfessorDr Kolawole Akinbaleye

Frequently asked questions

An AI chatbot is a virtual assistant powered by large language models (LLMs) that can answer questions, hold conversations, and complete tasks through text or voice, often replacing traditional support systems.

Chatbots use natural language processing (NLP) to understand questions and generate human-like responses. When connected to business data, they can handle customer inquiries, internal requests, or sales conversations.

They reduce support costs, provide 24/7 service, scale instantly during busy periods, and improve customer satisfaction by delivering fast, accurate answers.

E-commerce, banking, healthcare, travel, education, and SaaS companies widely use chatbots to handle customer service, scheduling, lead generation, and onboarding.

Most chatbots can be embedded with a simple code snippet or API integration, allowing customers to chat directly on a website, mobile app, or social platform.

Yes. Advanced chatbots use multi-turn conversation design, memory, and integrations with company databases to manage layered, detailed conversations beyond simple Q&A.

Rule-based bots follow scripts and predefined flows, while AI chatbots learn from data, understand context, and generate natural responses, making them more flexible and effective.

Businesses train chatbots by feeding them FAQs, manuals, customer conversations, and product knowledge so the AI understands brand tone and domain-specific information.

Yes, if implemented correctly. Enterprise chatbots use encryption, role-based access, and compliance frameworks (like GDPR or HIPAA) to protect user data.

Absolutely. Many companies deploy chatbots for HR inquiries, IT support, onboarding employees, or quickly retrieving company policy documents.

They qualify leads, answer pre-sale questions, and schedule meetings automatically, ensuring sales reps spend more time closing deals and less time on admin work.

They provide instant replies, reduce wait times, handle repetitive questions, and escalate complex issues to human agents when needed.

A multilingual chatbot can converse in multiple languages, allowing businesses to expand globally and provide localized customer support without hiring large teams.

Limitations include occasional misunderstandings, lack of emotional intelligence, and reliance on quality training data. However, these issues improve with continuous updates.

Future chatbots will have memory, voice capabilities, and seamless integration with business systems — functioning more like digital employees than simple assistants.