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Software, Innovation and Digital Transformation

Step into the future of app development, automation, and low-code/no-code software delivery. Designed for non-programmers and digital leaders alike, this specialization teaches how intelligent platforms such as Replit, Zapier, Notion AI, and Power Automate are reshaping how we build software, automate workflows, and launch scalable digital products.Students will explore the intersection of business logic, app creation, and agile transformation through hands-on projects and guided prototyping.

SOFTWARE, INNOVATION AND DIGITAL TRANSFORMATION

Course Series

Explore our course series designed to help you build foundational and intermediate knowledge across key topics. Each course offers curated content tailored to different learning goals.

INTRODUCTORY COURSES

4 courses

  • Why take this course?

    This course introduces learners to Agentic AI - systems that go beyond passive response generation and instead act autonomously toward goals. In contrast to traditional AI tools, agentic systems can plan, make decisions, use external tools, and even reflect on their actions. Designed for learners who have already explored Generative AI, this course bridges the gap between using AI and designing AI-driven workflows that simulate autonomous behavior.
    Through hands-on projects and real-world examples, students will gain foundational knowledge in multi-step reasoning, task decomposition, tool integration, and memory - the building blocks of agentic systems. This course sets the stage for future industry-specific tracks in business, education, finance, and more.

    AI is evolving — and it's learning to take initiative. This course explores the next frontier: Agentic AI. Unlike basic chatbots or assistants, agentic systems can plan, act, and adapt to achieve goals. You’ll learn how these intelligent agents work, how to design them, and how they use tools, memory, and multi-step reasoning to function independently. Perfect for professionals, technologists, or innovators who want to go beyond using AI and start building with it. This course lays the foundation for advanced, industry-specific agentic AI training.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: What is Agentic AI?

      • Definitions: Agents vs Assistants vs Tools

      • Agent architecture: Perception → Reasoning → Action

      • Task completion vs goal pursuit

      • Key frameworks: Auto-GPT, BabyAGI, LangChain agents, CrewAI

      • Demos: How agents differ from GenAI tools

      Session 2: Planning and Reasoning in Agents

      • Multi-step reasoning: from LLMs to planning agents

      • Task decomposition and sub-goal generation

      • Prompt-chaining vs autonomous reasoning

      • Case study: An AI that plans a marketing campaign or writes code

    • Session 3: Tool Use and Integration

      • Toolformer and beyond: how agents call APIs, search, use calculators

      • The agent “toolbelt”: defining and assigning tools

      • LLM + plugin architectures (LangChain, OpenAI functions, HuggingFace agents)

      • Hands-on: Design a simple agent to perform web search + summarize

      Session 4: Memory and Context

      • Short-term vs long-term memory in agents

      • Retrieval-augmented generation (RAG) and vector databases

      • Embeddings 101 and memory stores (Pinecone, FAISS)

      • Use case: AI assistant with persistent memory of a client or task

    • Session 5: Reflection and Self-Correction

      • Agentic loops and thinking steps (e.g., ReAct framework)

      • Iterative reasoning, retry logic, and error handling

      • Critic and planner roles in multi-agent systems

      • Use case: Agents that debug or revise their own outputs

      Session 6: Multi-Agent Collaboration

      • Autonomous teams: CrewAI, AutoGen, LangGraph

      • Roles and personas in agentic systems

      • Inter-agent communication

      • Use case: Agent team executes a content pipeline or workflow

    • Session 7: Limitations, Ethics, and Failure Modes

      • Over-reliance and hallucination in agentic behavior

      • Security, misuse, and safety concerns

      • Prompt injections, tool misuse, data privacy

      • Design principles for safe, bounded autonomy

      • What current agentic systems can’t do (yet)

      Session 8: Capstone Workshop — Design Your Own Agent

      • Choose a goal or workflow (e.g., research assistant, business analyst, personal concierge)

      • Define tools, memory, goals, roles

      • Create a prompt-based or low-code agent prototype

      • Demo and feedback: peer review + instructor insights

  • Why take this course?

    This hands-on, beginner-friendly course introduces learners to the fast-evolving field of prompt engineering - the art and science of communicating effectively with Generative AI. In just 24 hours, participants will learn how to craft prompts that produce better, more accurate, and more useful outputs from tools like ChatGPT, Claude, DALL-E, and others. Through real-world examples, interactive exercises, and guided experimentation, learners will gain practical skills to unlock the full potential of AI in creative, professional, and technical contexts.


    No technical or programming background is required - just curiosity and a willingness to experiment!

    Generative AI is powerful—if you know how to ask the right questions. This course teaches you how to speak the language of AI through effective prompt engineering. Over four weeks, you'll learn how to design, refine, and experiment with prompts to unlock smarter, more accurate, and more creative responses from GenAI tools like ChatGPT, Claude, and Midjourney. From writing and coding to design and customer service, prompt engineering is the skill that puts AI to work for you. Perfect for professionals, creators, educators, and anyone curious about working better with AI.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: What is Generative AI? A Beginner’s Map

      • What is GenAI? Definitions and context

      • Evolution: From early AI to Generative AI

      • Examples in action: ChatGPT, DALL·E, Midjourney, GitHub Copilot, etc.

      • Real-world applications (business, education, art, software, etc.)

      • What GenAI can do today

      Session 2: How Generative AI Works — The Basics (No Math!)

      • What is a model? What is "training"?

      • Overview of LLMs, diffusion models, GANs, VAEs

      • Why GenAI seems smart (but isn’t conscious)

      • Tokens, prompts, hallucinations explained

      • Limitations of current models and where they break

    • Session 3: Exploring Text-Based GenAI (LLMs like ChatGPT, Claude, Gemini)

      • How LLMs generate language

      • Prompting basics: getting what you want

      • Use cases: summarization, writing, planning, coding

      • Prompt engineering basics and best practices

      • Limitations and risks of text-based GenAI

      Session 4: GenAI for Images, Audio, and Video

      • Overview of image generation tools (DALL·E, Midjourney, Stable Diffusion)

      • Basics of how image GenAI works (diffusion explained simply)

      • Intro to audio and music GenAI (e.g., Suno, ElevenLabs)

      • Video GenAI (e.g., Runway, Sora—emerging tools)

      • Demos and ethical considerations (deepfakes, misuse, bias)

    • Session 5: Real-World Use Cases and Tools

      • Business use: marketing, productivity, customer service

      • Education use: tutoring, writing support, personalized learning

      • Design, art, and creative content

      • GenAI in software development and automation

      • Demo of multi-modal GenAI tools (text+image, text+code)

      Session 6: What GenAI Can’t Do (Yet)

      • Understanding hallucination and misinformation

      • Reasoning, logic, and factual gaps

      • Biases and fairness in GenAI

      • Creativity vs replication: is GenAI truly creative?

      • The future: AGI vs narrow GenAI

    • Session 7: Ethics, Risks, and Responsible Use

      • Copyright and IP issues

      • Deepfakes, misinformation, and manipulation

      • AI safety and alignment challenges

      • Open vs closed-source models

      • Regulatory trends (Canada, EU, US, etc.)

      Session 8: Hands-On Workshop: Build Your Own GenAI Workflow

      • Choose a use case (content creation, customer response, design, etc.)

      • Hands-on with GenAI tools (text, image, audio)

      • Crafting effective prompts and refining results

      • Wrapping up: GenAI literacy for everyday use

      • Final Q&A and resources for continued learning

  • Why take this course?

    This 24-hour introductory course is designed for absolute beginners who want to understand Generative AI (GenAI) and how it is transforming industries. Through 8 engaging sessions, participants will explore how GenAI works, what it's good at (and what it isn't), and how to begin using GenAI tools in real-world scenarios. You’ll gain foundational knowledge of the technologies behind GenAI, including large language models (LLMs), image generation, and audio synthesis. We'll also discuss the risks,
    ethical concerns, and current limitations to using GenAI responsibly. By the end of the course, learners will be confident in using popular GenAI tools, understanding how they work under the hood, and recognizing their potential and boundaries in various applications.


    No prior technical knowledge is required.

    Unlock the power of Generative AI in just four weeks. This hands-on, beginner-friendly course will take you from zero to confident user by exploring how GenAI tools like ChatGPT, DALL·E, and others work—and how they’re being used across industries. Learn what GenAI can (and can’t) do, experiment with leading tools, and understand the ethical, legal, and societal implications of this rapidly evolving technology. Whether you're a business professional, educator, artist, or curious learner, this course offers practical skills and critical insights to help you navigate and apply GenAI effectively.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: What is Generative AI? A Beginner’s Map

      • What is GenAI? Definitions and context

      • Evolution: From early AI to Generative AI

      • Examples in action: ChatGPT, DALL·E, Midjourney, GitHub Copilot, etc.

      • Real-world applications (business, education, art, software, etc.)

      • What GenAI can do today

      Session 2: How Generative AI Works — The Basics (No Math!)

      • What is a model? What is "training"?

      • Overview of LLMs, diffusion models, GANs, VAEs

      • Why GenAI seems smart (but isn’t conscious)

      • Tokens, prompts, hallucinations explained

      • Limitations of current models and where they break

    • Session 3: Exploring Text-Based GenAI (LLMs like ChatGPT, Claude, Gemini)

      • How LLMs generate language

      • Prompting basics: getting what you want

      • Use cases: summarization, writing, planning, coding

      • Prompt engineering basics and best practices

      • Limitations and risks of text-based GenAI

      Session 4: GenAI for Images, Audio, and Video

      • Overview of image generation tools (DALL·E, Midjourney, Stable Diffusion)

      • Basics of how image GenAI works (diffusion explained simply)

      • Intro to audio and music GenAI (e.g., Suno, ElevenLabs)

      • Video GenAI (e.g., Runway, Sora—emerging tools)

      • Demos and ethical considerations (deepfakes, misuse, bias)

    • Session 5: Real-World Use Cases and Tools

      • Business use: marketing, productivity, customer service

      • Education use: tutoring, writing support, personalized learning

      • Design, art, and creative content

      • GenAI in software development and automation

      • Demo of multi-modal GenAI tools (text+image, text+code)

      Session 6: What GenAI Can’t Do (Yet)

      • Understanding hallucination and misinformation

      • Reasoning, logic, and factual gaps

      • Biases and fairness in GenAI

      • Creativity vs replication: is GenAI truly creative?

      • The future: AGI vs narrow GenAI

    • Session 7: Ethics, Risks, and Responsible Use

      • Copyright and IP issues

      • Deepfakes, misinformation, and manipulation

      • AI safety and alignment challenges

      • Open vs closed-source models

      • Regulatory trends (Canada, EU, US, etc.)

      Session 8: Hands-On Workshop: Build Your Own GenAI Workflow

      • Choose a use case (content creation, customer response, design, etc.)

      • Hands-on with GenAI tools (text, image, audio)

      • Crafting effective prompts and refining results

      • Wrapping up: GenAI literacy for everyday use

      • Final Q&A and resources for continued learning

  • Why take this course?

    This 24-hour introductory course offers a hands-on, non-technical introduction to the most impactful AI tools available today. Designed for curious beginners from any background, the course showcases real-world applications of AI in writing, image creation, productivity, communication, data analysis, and more. Through guided demos and hands-on practice, learners will discover how to use AI tools to boost creativity, improve efficiency, and solve everyday problems - no programming required. By the end of the course, participants will understand the capabilities, limitations, and best uses of today’s most promising AI tools, and feel empowered to start using them in their personal and professional lives.

    AI is no longer just for coders and data scientists—it’s for everyone. This beginner-friendly course introduces you to today’s most powerful and accessible AI tools, from ChatGPT to Canva AI, and shows you how to use them to write faster, design smarter, automate tasks, create content, and more. Learn by doing through real-world demos and hands-on challenges as you build your own custom AI toolkit. Whether you're a professional, student, entrepreneur, or just curious, this course will show you what’s possible when AI works with you.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Welcome to the AI Tool Ecosystem

      • What are AI tools and why are they everywhere now?

      • Categories of AI tools: text, images, audio, video, productivity, etc.

      • Core concepts: Generative AI, automation, personalization

      • Intro to foundational tools: ChatGPT, DALL·E, Grammarly, Notion AI

      • Hands-on: Try your first AI-assisted task

      Session 2: Text-Based Tools and Assistants

      • ChatGPT, Claude, Gemini: what they can do and how they differ

      • Writing support: GrammarlyGO, Jasper, Notion AI

      • Email, reports, summarization, translation, and rewriting

      • Hands-on: Crafting prompts and workflows for writing tasks 

    • Session 3: Visual AI: From Images to Design

      • Image generators: DALL·E, Canva AI, Adobe Firefly

      • Design help: Layout suggestions, branding ideas, social media content

      • Practical uses: marketing, personal branding, storytelling

      • Hands-on: Create custom visuals with AI

      Session 4: Audio, Video, and Voice AI Tools

      • Voice AI: ElevenLabs, Descript

      • Music generation: Suno AI, Soundraw

      • Video tools: Synthesia, Runway, Pictory

      • Use cases: explainer videos, training, podcasts, voiceovers

      • Hands-on: Generate a short video or podcast clip

    • Session 5: AI Tools for Productivity & Automation

      • Notion AI, Microsoft Copilot, Google Duet, Superhuman

      • Meeting transcription: Otter.ai, Fireflies

      • Scheduling, brainstorming, note-taking, content planning

      • Hands-on: Build a personal productivity stack with AI

      Session 6: AI for Data and Research

      • Tools: ChatGPT (with data plugins), Perplexity AI, Browse AI

      • AI search and research assistants

      • Visualizing data with AI: ChatGPT + charts, Power BI integrations

      • Hands-on: Use AI to analyze or summarize a dataset or research topic

    • Session 7: Responsible Use and Tool Comparison

      • AI hallucination and fact-checking

      • Privacy, data ownership, copyright

      • Free vs paid tools: what’s worth it?

      • Tool longevity and choosing sustainable platforms

      • Hands-on: Compare tool results for the same task

      Session 8: Build Your Own AI Toolkit (Capstone Workshop)

      • Pick your domain: business, education, content creation, etc.

      • Identify useful tools for your goals

      • Build a repeatable AI-powered workflow

      • Final showcase: present your personalized AI toolkit

APPLIED
COURSES

8 courses

  • Why take this course?

    This 24-hour introductory course offers a comprehensive overview of the AI-powered tools reshaping software creation, task automation, and digital service delivery. Designed for non-developers, business technologists, and digital innovators, the course covers no-code and low-code platforms, workflow automation, intelligent app generation, and system orchestration. Students will gain hands-on experience using industry-leading AI tools that accelerate ideation, enhance collaboration, and drive digital transformation without traditional coding.

    Software development no longer requires code. In this hands-on course, discover how AI tools are empowering creators to build apps, automate tasks, and transform business processes faster and smarter than ever. Learn to design workflows, build platforms, and reimagine enterprise services—no programming background required.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: From Code to Configuration – The Changing Landscape of Software

      • What is no-code/low-code and why it matters

      • AI's role in digital transformation and software creation

      • Tools: Airtable, Bubble, Zapier, Notion AI

      • Hands-on: Use a no-code builder to create a simple web app

      Session 2: Visual Logic and Workflow Automation

      • Principles of process automation and visual programming

      • Tools: Make (Integromat), Zapier, Power Automate

      • Hands-on: Build a multi-step workflow that connects multiple tools

    • Session 3: Intelligent App Design and AI Assistants

      • App creation with form generators, chat interfaces, and UI assistants

      • Tools: Adalo, Glide, Replit Ghostwriter, Builder.io

      • Hands-on: Generate an interactive prototype with AI-guided logic

      Session 4: AI Tools for Productivity and Task Automation

      • AI for automating routine knowledge work

      • Tools: Notion AI, ChatGPT, Bardeen, AutoGPT

      • Hands-on: Automate a weekly business report and task reminders

    • Session 5: Data Integration and Dashboards

      • Using AI to connect spreadsheets, APIs, and databases

      • Tools: Retool, Rows, Tableau AI

      • Hands-on: Create a dashboard fed by real-time data and chatbot interface

      Session 6: Business Process Automation and Optimization

      • RPA vs. AI-driven automation

      • Use cases in customer service, HR, and internal operations

      • Tools: UiPath, Power Automate, Zapier

      • Hands-on: Automate a hiring or support workflow using drag-and-drop AI logic

    • Session 7: Governance, Ethics, and Risk in Automated Systems

      • Limits of no-code and low-code platforms

      • Privacy, explainability, and human-in-the-loop design

      Session 8: Capstone Workshop – Digital Solution Launchpad

      • Choose a scenario: automate a process, build an app, or streamline a workflow

      • Use multiple tools from the course to build your prototype

      • Peer review and improvement session

  • Why take this course?

    This 24-hour course explores how AI-driven platforms are transforming business workflows through intelligent process automation. Students will gain hands-on experience designing scalable, multi-step workflows that connect people, tools, and data without writing code. Using platforms like Zapier, Make, Power Automate, and Bardeen, participants will create customized automations for common operational, marketing, and support tasks.

    Stop doing repetitive work manually. This course teaches you how to build automated workflows using visual tools that connect apps, trigger tasks, and reduce human error. Learn how to design, test, and deploy automations that scale across departments and improve efficiency with minimal effort.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Principles of Workflow Automation

      • Core concepts: triggers, actions, logic paths, and conditionals

      • Types of automation: scheduled, event-driven, and user-initiated

      • Benefits and limitations of AI-powered automation

      • Hands-on: Use Zapier to automate email alerts and file storage

      Session 2: Multi-App Integrations and Automation Chains

      • Connecting apps across platforms (Gmail, Slack, Sheets, CRMs)

      • Automation handoffs and conditional logic

      • Error handling and retry strategies

      • Hands-on: Build a multi-step Make scenario connecting 3+ tools

    • Session 3: Intelligent Form and Data Capture

      • Automating form-based workflows (intake, approvals, registration)

      • Tools: Jotform, Typeform + Zapier/Make integrations

      • Auto-tagging, notifications, and dynamic responses

      • Hands-on: Automate a form-to-CRM or spreadsheet workflow

      Session 4: Team Productivity and Internal Automation

      • Internal use cases: onboarding, meeting notes, reminders

      • Tools: Notion AI, Slack bots, Power Automate

      • Building team dashboards that reflect workflow status

      • Hands-on: Design an internal task automation process

    • Session 5: Automating Sales and Marketing Pipelines

      • Automating email drip campaigns, lead tracking, and tagging

      • Tools: Mailchimp, HubSpot, Google Sheets + Zapier

      • Personalization and scheduling with AI

      • Hands-on: Build a lead capture and email follow-up automation

      Session 6: AI Agents and Advanced Triggers

      • Triggering flows based on AI responses or webhooks

      • Tools: Bardeen, ChatGPT-based triggers

      • Combining LLMs and workflow platforms

      • Hands-on: Launch a workflow triggered by GPT summarization or input

    • Session 7: Automation Best Practices and Failure Recovery

      • Naming conventions, testing strategies, version control

      • Error detection, retries, and notifications

      • Scalability and security considerations

      Session 8: Capstone Project – Workflow Transformation Challenge

      • Design a workflow that solves a real business inefficiency

      • Use 3+ tools with multiple branches or logic paths

      • Present and demo your automation with a peer review

  • Why take this course?

    This 24-hour specialization course guides learners through the process of creating fully functional web and mobile applications using intuitive, visual development platforms. Participants will explore the capabilities of no-code and low-code environments to design user interfaces, manage data, define workflows, and deploy apps. Ideal for entrepreneurs, product owners, and innovation teams looking to build apps quickly without hiring developers.

    Build the app you need without writing a single line of code. This hands-on course teaches you how to create web and mobile applications using platforms like Bubble, Adalo, and Glide. Whether you're prototyping a business idea or launching an internal tool, you'll learn to go from idea to implementation fast.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Understanding the No-Code/Low-Code Landscape

      • Comparing no-code vs. low-code: capabilities and use cases

      • Key platforms: Bubble, Adalo, Glide, OutSystems

      • Overview of app types: internal tools, CRMs, portals, customer apps

      • Hands-on: Explore and evaluate 2 platforms for a sample use case

      Session 2: Planning and Designing App Architecture

      • UI/UX fundamentals for no-code platforms

      • Designing app navigation and layout

      • Structuring data models and backend logic

      • Hands-on: Sketch a wireframe and data model for a sample app

    • Session 3: Creating Data-Driven Applications

      • Connecting UI to dynamic databases and user input

      • CRUD operations (create, read, update, delete) in no-code apps

      • Conditional logic and data filtering

      • Hands-on: Build a user directory or task manager with live data

      Session 4: Workflows, Actions, and Backend Automation

      • Defining triggers and automating backend events

      • Integrating with APIs and third-party services

      • Form submissions, authentication, and notifications

      • Hands-on: Create a multi-step app process (e.g., job application form)

    • Session 5: Mobile Optimization and Deployment

      • Designing responsive layouts for mobile apps

      • Publishing apps on the web vs. app stores

      • Beta testing, debugging, and user feedback collection

      • Hands-on: Deploy your app to a test environment

      Session 6: Integrating AI Services into No-Code Apps

      • Adding GPT chat, summarization, or classification features

      • Tools: Bubble plugins, Webhooks, Make + OpenAI

      • Hands-on: Add an AI assistant or search feature to your app

    • Session 7: Performance, Security, and Scalability

      • Optimizing data queries and app speed

      • User roles, permissions, and secure workflows

      • Scalability considerations in no-code systems

      Session 8: Capstone Project – Build and Pitch Your No-Code App

      • Choose a use case: CRM, portal, onboarding tool, or booking app

      • Design, build, and test your full app

      • Present and review apps with peer and instructor feedback

  • Why take this course?

    This 24-hour course focuses on creating intelligent dashboards and connecting data systems using AI-enhanced integration platforms. Students will learn to pull data from multiple sources, automate data flows, and visualize insights in real-time using tools like Retool, Rows, Supabase, and Tableau AI.

    Transform your data into action. This hands-on course will show you how to build real-time dashboards and connect multiple tools and databases using simple, AI-powered interfaces. Perfect for analysts, product teams, and operations leads who want better visibility without heavy coding.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Foundations of Data Integration and Visualization

      • Overview of dashboard design and decision-driven metrics

      • What makes good data storytelling

      • Tools: Rows, Supabase, Tableau AI, Retool

      • Hands-on: Build a basic dashboard using sample data

      Session 2: Connecting APIs and Spreadsheets

      • Using AI to extract, clean, and link external data

      • Working with CSVs, Google Sheets, and REST APIs

      • Hands-on: Create a connected dashboard that updates automatically

    • Session 3: Building Dashboards with User Input and Interaction

      • Interactive controls: filters, sliders, inputs

      • Triggering logic or views with user activity

      • Hands-on: Create a personalized KPI dashboard for team leads

      Session 4: Automating Data Workflows Across Platforms

      • Syncing tools like Airtable, Slack, Google Drive with dashboards

      • Error prevention and data validation with AI tools

      • Hands-on: Build a flow that alerts users when KPIs are triggered

    • Session 5: Embedding AI Insights in Dashboards

      • Generating summaries, forecasts, and alerts using GPT models

      • Visualizing trends and correlations using AI recommendations

      • Hands-on: Integrate GPT to generate dashboard headlines or insights

      Session 6: Role-Based Access and Multi-Team Sharing

      • Permission control, visibility logic, and security layers

      • Publishing and embedding dashboards into websites or tools

      • Hands-on: Configure a dashboard with different user roles

    • Session 7: Performance Optimization and Best Practices

      • Query speed, API call reduction, and scalable views

      • Monitoring for latency and error detection

      • Visual hierarchy and layout consistency

      Session 8: Capstone – Business Dashboard Showcase

      • Build and present a dashboard for a real-world use case (sales, HR, marketing)

      • Include multiple data sources and one AI-enhanced insight

  • Why take this course?

    This 24-hour course teaches students to design and build conversational interfaces using modern chatbot and virtual assistant platforms. Through tools like Dialogflow, Botpress, GPT-4 API, and Tiledesk, students will create chat flows, integrate natural language processing, and connect chatbots to services or databases.

    Create bots that work for you. This practical course teaches you to design chatbots and AI assistants that can answer questions, complete tasks, and integrate with apps. From customer support to productivity tools, you'll explore how to build conversation-based systems without needing to code from scratch.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Chatbot Foundations and Use Cases

      • Types of conversational systems: chatbots vs. agents vs. assistants

      • Business applications: support, onboarding, booking, info retrieval

      • Hands-on: Test examples from GPT, Dialogflow, and Intercom

      Session 2: Designing Intent-Based Flows

      • Intents, entities, and natural language understanding

      • Creating user paths and conditional logic trees

      • Hands-on: Build an FAQ bot with intent recognition

    • Session 3: Platforms for Chatbot Development

      • Overview of Dialogflow, Botpress, Tiledesk, and Landbot

      • Comparing hosted vs. on-premise options

      • Hands-on: Design a starter bot in Dialogflow or Botpress

      Session 4: Integrating APIs and Dynamic Data

      • Connecting bots to external systems: CRMs, Google Sheets, Zapier

      • Using webhooks and parameters to return live answers

      • Hands-on: Link a chatbot to fetch data from a spreadsheet or form

    • Session 5: Enhancing Conversations with Generative AI

      • Combining GPT-4 with chat interfaces for natural flow

      • Using prompt chaining and summarization

      • Hands-on: Add a generative AI fallback to a chatbot interface

      Session 6: Deploying Assistants Across Channels

      • Facebook Messenger, WhatsApp, web widgets, Slack

      • Multi-channel design considerations and handoff logic

      • Hands-on: Publish a chatbot to a messaging platform

    • Session 7: Ethics, Transparency, and User Trust

      • Disclaimers, data privacy, and limitations of automation

      • Fallbacks and human handoff design

      Session 8: Capstone – Build Your Conversational Assistant

      • Choose a use case: support bot, booking agent, onboarding tool

      • Build, test, and deploy your assistant with documentation

  • Why take this course?

    This 24-hour course teaches students how to streamline everyday digital tasks using AI-powered productivity tools. Participants will learn to automate emails, documents, calendar workflows, and repetitive office tasks using platforms like Notion AI, ChatGPT, Bardeen, and Microsoft Copilot.

    Boost your productivity with AI. In this hands-on course, learn how to automate your digital workspace—from emails and reports to meeting notes and reminders—using smart assistants like ChatGPT, Bardeen, and Notion AI.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Automating Routine Office Workflows

      • Identifying repetitive patterns in digital work

      • AI tools for document generation, calendars, and notifications

      • Hands-on: Use Bardeen to automate a daily agenda and reminders

      Session 2: Email and Communication Automation

      • Smart replies, summarization, scheduling, and follow-ups

      • Tools: Gmail + ChatGPT, Superhuman, Microsoft Copilot

      • Hands-on: Draft and schedule AI-personalized emails from a dataset

    • Session 3: Document Generation and Knowledge Management

      • Auto-summarization, transcription, and document synthesis

      • Tools: Notion AI, GPT-powered editors, Word Copilot

      • Hands-on: Create a meeting report or SOP based on prompts and notes

      Session 4: AI-Powered Scheduling and Calendaring

      • Automated meeting setup, calendar syncing, and reminders

      • Tools: Motion, Clockwise, Google Calendar + AI bots

      • Hands-on: Design a self-updating meeting management tool

    • Session 5: Personal Task Management and Note-Taking

      • AI notes, summarizers, and daily prioritization tools

      • Tools: Mem, Notion AI, ChatGPT

      • Hands-on: Automate weekly review with task generation and summaries

      Session 6: Cross-Platform Workflows and Productivity APIs

      • Using Make or Zapier to connect task apps with databases or CRMs

      • Event-triggered productivity flows

      • Hands-on: Create a cross-app workflow that logs tasks from email

    • Session 7: Ethics, Boundaries, and Human-AI Teaming

      • Maintaining oversight, avoiding over-automation

      • When to loop in a human and ensure accountability

      Session 8: Capstone Project – Productivity Workflow Challenge

      • Choose a task domain (communication, research, project tracking)

      • Design a set of automations to save 5+ hours per week

      • Present the logic and demonstrate effectiveness

  • Why take this course?

    This 24-hour course introduces students to advanced enterprise automation using Robotic Process Automation (RPA) and AI. Participants will learn to automate structured and semi-structured business processes using tools like UiPath, Power Automate Desktop, and IBM Watson Orchestrate.

    Ready to scale automation across your organization? This course teaches how to design, deploy, and manage AI-powered RPA bots for enterprise workflows in HR, finance, operations, and customer support.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: Overview of Enterprise Automation Technologies

      • What is RPA vs. traditional scripting and AI automation

      • Key RPA use cases: HR, finance, IT support, compliance

      • Tools: UiPath, Power Automate Desktop, IBM Watson Orchestrate

      Session 2: Bot Design Fundamentals

      • Structured vs. unstructured workflows

      • Drag-and-drop logic, decision trees, and recorders

      • Hands-on: Record a UI-based task using UiPath

    • Session 3: Document and Form Processing

      • Extracting structured data from PDFs, forms, and images

      • Using OCR (Optical Character Recognition) with AI assistants

      • Hands-on: Automate invoice entry or onboarding document collection

      Session 4: API-Based Automation and Hybrid Approaches

      • Mixing UI automation with backend API calls

      • Calling cloud functions and integrated systems

      • Hands-on: Create a hybrid flow between form and database entry

    • Session 5: Human-in-the-Loop Design and Exception Handling

      • Creating approval checkpoints and intervention paths

      • Notification, validation, and escalation options

      • Hands-on: Add human checkpoints to a data validation workflow

      Session 6: Deployment, Scheduling, and Monitoring Bots

      • Bot orchestration, logs, and dashboards

      • Error detection, retry logic, and role-based access

      • Hands-on: Schedule a bot and monitor it via control panel

    • Session 7: Governance, Compliance, and Risk Management

      • Audits, version control, access security, and data governance

      • Industry-specific automation risks and policy frameworks

      Session 8: Capstone – Build an Enterprise Automation Prototype

      • Choose a business process: onboarding, payroll, support

      • Design, document, and test a full RPA prototype with human checkpoints

  • Why take this course?

    This 24-hour course explores how AI is transforming the design and launch of new digital products. Participants will use tools like Builder.io, Canva AI, ChatGPT, and Bubble to ideate, prototype, and validate MVPs (Minimum Viable Products) in accelerated design cycles.

    Launch faster and smarter. This course guides you through using AI for product ideation, UI/UX design, prototyping, and validation. Great for entrepreneurs, product teams, and creatives building web or mobile solutions quickly.

    What will you receive upon completion?

    Certificate of Completion, and Badge to use across Professional Platforms

    What will you learn each week?

    • Session 1: The AI-Powered Product Development Process

      • Agile design meets AI: redefining speed and scope

      • Mapping the digital product lifecycle with AI tools

      • Hands-on: Use ChatGPT to brainstorm and structure a product idea

      Session 2: Rapid Prototyping and MVP Design

      • What makes a good MVP? Core functions and lean testing

      • Wireframes, user flows, and design templates with Builder.io

      • Hands-on: Create a clickable prototype of your product idea

    • Session 3: Smart UI/UX with No-Code AI Builders

      • Tools: Canva AI, Bubble visual logic, Figma AI plugins

      • Dynamic layouts, mobile responsiveness, and branded templates

      • Hands-on: Design a homepage and onboarding flow

      Session 4: Copywriting, Branding, and Content with AI

      • Using GPT for website copy, microcopy, product descriptions

      • Auto-generating FAQs, help docs, and marketing assets

      • Hands-on: Fill your prototype with functional AI-generated content

    • Session 5: Integrating Product with Databases and Logic

      • Connecting forms, databases, and live data sources

      • Adding conditions, user roles, and internal workflows

      • Hands-on: Build an interactive page tied to user actions

      Session 6: Validation, Feedback Loops, and Iteration

      • Creating surveys, A/B tests, and tracking tools

      • Using ChatGPT to summarize qualitative user feedback

      • Hands-on: Plan a lean user test and review cycle

    • Session 7: Launch Planning and AI Marketing Assets

      • Social graphics, pitch decks, explainer videos using AI

      • Scheduling posts and running landing pages

      • Hands-on: Generate a mini launch campaign and metrics dashboard

      Session 8: Capstone – AI-Powered Product Showcase

      • Build and present a working MVP with AI support end to end

      • Explain the logic, features, and testing approach

ARTS, MEDIA, & ENTERTAINMENT

Course Registration

Ready to take the next step? Browse our available and upcoming courses below and secure your spot today. Don’t miss out—enroll now to unlock new opportunities!

COURSE NAME
COURSE DURATION
COURSE FEE
REGISTRATION

Foundations of Agentic AI: Building Intelligent, Goal-Directed Systems

Month Year - Month Year

Session / Time

$xxxx

Registration Opens Month Year

Prompt Engineering for Beginners: Mastering the Language of AI

Month Year - Month Year

Session / Time

$xxxx

Registration Opens Month Year

Introduction to Generative AI

Month Year - Month Year

Session / Time

$xxxx

Registration Opens Month Year

Introduction to AI Tools: Exploring What’s Possible

Month Year - Month Year

Session / Time

$xxxx

Registration Opens Month Year
SOFTWARE, INNOVATION AND DIGITAL TRANSFORMATION

Experential Learning

By completing a Conifer 2C course, students gain exclusive access to upcoming charrettes, research projects, and pilot placement opportunities - bridging learning with real-world innovation.

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Charrette

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Research Project

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Pilot Placement

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