Instructor

shambhvi

Gen AI Readiness Workshop

10 weeks

All levels

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Gen AI Readiness Workshop

Created By shambhvi
Last Updated June 9th, 2025

Overview
Prerequisites
Audience
Curriculum

Description:

This 3-day workshop offers a beginner-friendly, hands-on introduction to Artificial Intelligence and Generative AI, designed for non-techies, enthusiasts, and programmers alike. Participants will explore core AI concepts and real-world applications, including text, image, audio, and video generation using tools like ChatGPT, DALL·E, and Whisper via Python APIs. The workshop also demonstrates how to use Microsoft Copilot to enhance productivity in Microsoft 365. Attendees will gain practical experience, learn ethical best practices, and avoid common pitfalls in deploying AI models. A comprehensive list of add-on modules is also available to extend the workshop beyond the core curriculum.

Duration: 3 Days

Course Code: BDT481

Learning Objectives:

By the end of this workshop, participants will be able to:

Understand fundamental concepts and real-world uses of Artificial Intelligence and Generative AI.
Create and interact with generative models for text, images, audio, and video content.
Use OpenAI tools (ChatGPT, DALL·E, Whisper) programmatically via Python APIs.
Master advanced prompting techniques for creative and analytical tasks using ChatGPT.
Boost productivity and automate workflows using Microsoft Copilot in Office applications.
Recognize ethical considerations and best practices in working with generative AI.

Topics	Brief Overview
Introduction to Artificial Intelligence	An accessible introduction to Artificial Intelligence, its core technologies, and real-world applications.
Introduction to Generative AI	A hands-on introduction to Generative AI, focusing on creating and applying models that generate new content.
Generative AI Model Overview	A hands-on introduction to OpenAI’s generative models, including DALL-E and Whisper, using the Python API.
ChatGPT: Practical Applications & Advanced Features	Master ChatGPT for content generation, advanced prompting, data analysis, and creative applications across text, graphics, audio, and video.
Introduction to MS Copilot	Leverage Microsoft Copilot to boost productivity, automate tasks, and enhance decision-making within Microsoft 365 applications.
Dos and Don’ts of Gen AI	A concise session on best practices, common pitfalls, and ethical considerations in training and deploying generative AI models.

Add Ons

Course Title	Link	Duration
Byte Sized Gen AI Series - AI First Mindset	https://bigdatatrunk.com/courses/byte-sized-series-ai-first-mindset/	90 Minutes
Byte Sized Gen AI Series - Mastering ChatGPT	https://bigdatatrunk.com/courses/mastering-chatgpt-conversational-ai-for-all/	90 Minutes
Byte Sized Gen AI Series - Unlocking Google Gemini	https://bigdatatrunk.com/courses/unlocking-google-gemini-multimodal-ai-power/	90 Minutes
Byte Sized Gen AI Series - Diving into Claude	https://bigdatatrunk.com/courses/diving-into-claude-ethical-ai-for-precision/	90 Minutes
Byte Sized Gen AI Series - Harnessing Perplexity AI	https://bigdatatrunk.com/courses/harnessing-perplexity-ai-real-time-research-made-simple	90 Minutes
Byte Sized Gen AI Series - Reasoning with DeepSeek	https://bigdatatrunk.com/courses/reasoning-with-deepseek/	90 Minutes
Byte Sized Gen AI Series - Exploring Grok	https://bigdatatrunk.com/courses/exploring-grok-ai-for-insightful-problem-solving/	90 Minutes
Byte Sized Gen AI Series - AI Agents	https://bigdatatrunk.com/courses/introduction-to-ai-agents-smarter-automation-real-results/	90 Minutes
AI/ML Byte-Sized Series: Machine Learning Introduction	https://bigdatatrunk.com/courses/ai-ml-byte-sized-series-machine-learning-introduction/	90 Minutes
Byte-Sized AI/ML Series: Classification Algorithm	https://bigdatatrunk.com/courses/ai-byte-sized-series-classification-algorithm/	90 Minutes
Byte-Sized AI/ML Series: Data Exploration and Analysis	https://bigdatatrunk.com/courses/ai-byte-sized-series-data-exploration-and-analysis/	90 Minutes
Byte-Sized AI/ML Series: Data Visualization	https://bigdatatrunk.com/courses/ai-byte-sized-series-data-visualization/	90 Minutes
Byte-Sized AI/ML Series: Machine Learning Model Deployment	https://bigdatatrunk.com/courses/ai-byte-sized-series-machine-learning-model-deployment/	90 Minutes
Byte-Sized AI/ML Series: Linear Regression Model	https://bigdatatrunk.com/courses/ai-byte-sized-series-linear-regression-model/	90 Minutes
Byte-Sized ML/AI Series: Optimizing Models	https://bigdatatrunk.com/courses/ai-ml-byte-sized-series-machine-learning-model-optimization/	90 Minutes
Byte-Sized Series: Unsupervised Learning	https://bigdatatrunk.com/courses/data-wrangling-modeling-and-model-maintenance-in-python/	90 Minutes
AI/ML Byte-Sized Series: Recommendation Systems	https://bigdatatrunk.com/courses/ai-ml-byte-sized-series-recommendation-systems/	90 Minutes
Byte-Sized Deep Learning Series: Applied Deep Learning for Natural Language Understanding	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-applied-deep-learning-for-natural-language-understanding/	90 Minutes
Byte-Sized Deep Learning Series: Image Recognition	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-image-recognition/	90 Minutes
Byte-Sized Deep Learning Series: Understanding Language	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-understanding-language/	90 Minutes
Byte-Sized Deep Learning Series: Introducing Neural Networks	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-understanding-language/	90 Minutes
Byte Sized ML Series - Pandas-NumPy	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-introducing-neural-networks/	90 Minutes
Byte Sized ML Series - Regression Algorithms	https://bigdatatrunk.com/courses/byte-sized-ml-series-numpy-and-pandas/	90 Minutes
Byte Sized ML Series - Handling Imbalanced data	https://bigdatatrunk.com/courses/byte-sized-ml-series-regression-algorithms/	90 Minutes
Byte Sized ML Series - Feature Importances	https://bigdatatrunk.com/courses/byte-sized-ml-series-tackling-imbalanced-classes-with-smote/	90 Minutes
Byte-Sized Deep Learning Series: Introduction to TensorFlow	https://bigdatatrunk.com/courses/byte-sized-ml-series-feature-importance-with-shap-values/	90 Minutes
Byte-Sized Deep Learning Series: Demystifying Artificial Neural Networks	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-introduction-to-tensorflow/	90 Minutes
Byte-Sized Deep Learning Series: Image Classification with Convolutional Neural Networks9	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-demystifying-neural-networks/	90 Minutes
Byte-Sized Deep Learning Series: Handling Text Data with Keras	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-image-classification-with-cnn/	90 Minutes
Byte-Sized Deep Learning Series: Training Optimization of Neural Networks	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-handling-text-data-with-keras/	90 Minutes
Byte-Sized Deep Learning Series: Understanding Transfer Learning	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-training-optimization-of-neural-networks/	90 Minutes
Byte-Sized Deep Learning Series: Neural Networks – Overfitting, Underfitting	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-understanding-transfer-learning/	90 Minutes
Byte-Sized Deep Learning Series: Model Persistence with Keras	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-neural-networks-overfitting-underfitting/	90 Minutes
AI for Text, NLP, and Forecasting	https://bigdatatrunk.com/courses/byte-sized-deep-learning-series-model-persistence-with-keras/	3 Days
AI for Image, Video Processing & Computer Vision	https://bigdatatrunk.com/courses/artificial-intelligence-for-text-nlp-and-forecasting/	1 Day
LLM Engineering	https://bigdatatrunk.com/courses/llm-engineering-master-class/	1 Day
ChatGPT for Data Exploration	https://bigdatatrunk.com/courses/chatgpt-for-data-exploration/	1 Day
AI for Coding	https://bigdatatrunk.com/courses/start-coding-with-ai-a-quick-guide-for-beginners/	1 Day
Deep Learning Foundations for Gen AI	https://bigdatatrunk.com/courses/deep-learning-foundations-for-gen-ai/	1 Day
Introduction to PyTorch and Large Language Models	https://bigdatatrunk.com/courses/introduction-to-pytorch-and-large-language-models/	1 Day
LangChain Training: Build LLM Powered Applications	https://bigdatatrunk.com/courses/langchain-training-build-llm-powered-applications/	1 Day
Introduction to PyTorch and Large Language Models	https://bigdatatrunk.com/courses/introduction-to-pytorch-and-large-language-models/	1 Day
Building AI Agent in a Day	https://bigdatatrunk.com/courses/building-ai-agents-a-hands-on-workshop/	1 Day
Generative AI development with LangChain & LangGraph	https://bigdatatrunk.com/courses/generative-ai-development-with-langchain-langgraph/	3 Days
Deep Learning Foundations for Gen AI	https://bigdatatrunk.com/courses/deep-learning-foundations-for-gen-ai/	2 Days
Enhanced Machine Learning	https://bigdatatrunk.com/courses/enhanced-machine-learning/	1 Day
Data Governance Fundamentals	https://bigdatatrunk.com/courses/data-governance-fundamentals/	1 Day
TabNine Basics	https://bigdatatrunk.com/courses/tabnine-basics/	1 Day
RAG - Retrieval Augmented Generation	https://bigdatatrunk.com/courses/rag-retrieval-augmented-generation/	1 Day
Generative AI in NLP	https://bigdatatrunk.com/courses/generative-ai-in-nlp/	1 Day
Generative AI for UX Designers	https://bigdatatrunk.com/courses/generative-ai-for-ux-designers/	1 Day
Generative AI for AWS – Enhancing Cloud Workflows and Applications	https://bigdatatrunk.com/courses/generative-ai-for-aws-enhancing-cloud-workflows-and-applications/	1 Day
Generative AI for Human Resource Professionals	https://bigdatatrunk.com/courses/generative-ai-for-human-resource-professionals/	1 Day
Generative AI for Business Leaders	https://bigdatatrunk.com/courses/generative-ai-for-business-leaders/	1 Day
Generative AI for Developers	https://bigdatatrunk.com/courses/generative-ai-for-developers/	1 Day
Generative AI for Content Developers	https://bigdatatrunk.com/courses/generative-ai-for-content-developers/	1 Day
Generative AI for E-Commerce	https://bigdatatrunk.com/courses/generative-ai-for-e-commerce/	1 Day
Generative AI for Jira: Automation, Insights, and Optimization	https://bigdatatrunk.com/courses/generative-ai-for-jira-automation-insights-and-optimization/	1 Day
Generative AI for Executives	https://bigdatatrunk.com/courses/generative-ai-for-executives/	1 Day
Generative AI for Data Scientists	https://bigdatatrunk.com/courses/generative-ai-for-data-scientists/	1 Day

Basic familiarity with using computers and common productivity tools (Word, Excel, etc.)
Curiosity and willingness to explore new AI tools
Optional: Some exposure to Python (helpful but not mandatory)

Non-technical professionals interested in AI and automation
Content creators and marketers exploring AI for creative work
Business users looking to leverage Microsoft Copilot
Students and beginners eager to learn about AI with minimal coding

Course Outline:

Introduction to Artificial Intelligence

This session offers a friendly introduction to Artificial Intelligence (AI), breaking down its key concepts, including Machine Learning, Deep Learning, and neural networks. Participants will explore how machines learn, the critical role of data, and see AI in action through a guided demonstration. The session dives into how machines learn, the pivotal importance of data, and the differences between shallow and deep neural networks. It also introduces advanced concepts like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), along with their practical use cases. The session also highlights real-world AI use cases and helps identify opportunities for applying AI within your organization.

List of Topics Covered

Distinctions between AI, Machine Learning, and Deep Learning
How machines learn and the role of data
Shallow vs. Deep Neural Networks
Introduction to Convolutional Neural Networks (CNNs) and use cases
Demonstration of AI
Real-world examples of AI applications

Introduction to Generative AI

This session introduces participants to the fascinating world of Generative AI, where machines can create images, text, and other forms of data. Learners will explore core generative models like GANs and VAEs, understand their architectures, and engage in hands-on exercises to build and train these models. The session also covers creative applications, ethical considerations, and emerging trends in this rapidly evolving field.

Building upon foundational AI knowledge, this session delves into Generative AI—a branch of AI focused on enabling machines to generate new and original content. Participants will learn about the architectures and working principles of key generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). The session offers practical sessions on training GANs for image generation and VAEs for data synthesis. Real-world applications across creative industries, ethical challenges of generative content, and future advancements in the field will also be discussed, empowering learners to explore innovative use cases and understand the broader impact of Generative AI.

List of Topics Covered

Introduction to Generative AI and its applications
Overview of generative models: GANs and VAEs
GAN architecture
Autoencoder and Variational Autoencoder (VAE) concepts
Training GANs and VAEs to generate data
Real-world creative applications of Generative AI
Future trends and advancements in Generative AI

Generative AI Model Overview

This session offers a practical overview of Generative AI using OpenAI’s powerful models. Participants will learn how to access and work with the OpenAI Python API, explore image generation with DALL-E, and convert audio to text using Whisper. The session provides hands-on coding experience, enabling participants to generate creative outputs and understand the broader applications of these models.

The training introduces participants to OpenAI’s generative ecosystem, emphasizing practical use of the OpenAI Python API. Learners will explore the capabilities of key models, including DALL-E for image generation and Whisper for audio-to-text conversion. Through guided coding sessions, participants will gain experience in setting up the API, configuring essential parameters, and generating creative content programmatically. The session also highlights the significance of OpenAI's models within the broader landscape of Generative AI, providing learners with the skills to kickstart their journey into developing applications using these state-of-the-art tools.

List of Topics Covered
Introduction to OpenAI and its role in Generative AI
Overview of key OpenAI models and their applications
Setting up and using the OpenAI Python API
Understanding key parameters of the API for content generation
Hands-on coding session with the OpenAI API
Generating images using DALL-E
Practical demonstration of Whisper’s capabilities

ChatGPT – Practical Applications and Advanced Features

This comprehensive session covers ChatGPT from basic use cases like text generation and information retrieval to advanced applications in data analysis, coding, creative content, and media generation. Participants will learn effective prompting strategies, explore ChatGPT plugins and Playground, and integrate ChatGPT with other tools. The session also touches on competing models, ethical considerations, and future trends in Generative AI.

The session will enable participants to effectively use ChatGPT for diverse tasks, starting from basic text generation, information retrieval, and human-like conversations, progressing to advanced prompting techniques and hands-on integration with external applications. Learners will explore the ChatGPT Playground for professional-grade prompts, experiment with plugins, and use ChatGPT for programming, research, and data analysis. The session also showcases creative applications, including image generation and audio generation. Additionally, participants will explore comparative tools like Google Gemini, Hugging Face, and other GPT-like models, while gaining insights into ethical considerations, biases, and the evolving landscape of Generative AI.

List of Topics Covered

Core uses of ChatGPT for text generation, research, and conversations
Effective prompting strategies
Advanced prompting using ChatGPT Playground and plugins
Using ChatGPT with external tools and APIs for data analysis and automation
Comparative review: ChatGPT vs. Google Gemini vs. Other tools
Exploring ethical considerations, biases, and limitations of ChatGPT

Introduction to MS Copilot

This session introduces participants to Microsoft Copilot, showcasing how AI is transforming work inside Microsoft 365 apps like Word, Excel, Outlook, Teams, and PowerPoint. Through hands-on exercises, learners will explore Copilot’s capabilities in content generation, data analysis, and communication enhancement. The session also emphasizes best practices, ethical considerations, and real-world applications to maximize Copilot’s impact in daily workflows.

This hands-on session focuses on integration across the Microsoft 365 ecosystem to automate workflows and enhance productivity. Participants will learn how Copilot elevates tasks in Word, Excel, Outlook, Teams, and PowerPoint by streamlining document creation, automating data analysis, assisting in email management, and enhancing presentations. Real-world scenarios and interactive exercises will equip learners to use Copilot effectively for report generation, meeting notes, data insights, and professional presentations. The session also covers best practices for integrating Copilot into daily workflows, understanding its limitations, and ensuring ethical and secure usage of AI-powered tools.

List of Topics Covered

Overview of Microsoft Copilot and its AI capabilities within Microsoft 365
AI-powered content generation and document editing in Word
Automated data analysis and visualization in Excel
AI-assisted email drafting, summarization, and scheduling in Outlook
Enhancing team collaboration with AI-powered notes and summaries in Teams
Creating AI-generated presentations and designs in PowerPoint
Best practices for applying Copilot in real-world workflows
Ethical, security, and reliability considerations of AI in professional environments
Hands-on exercises using Copilot

Dos and Don’ts of Gen AI

This session equips participants with practical knowledge on the dos and don'ts of training generative AI models. It emphasizes critical success factors, pitfalls to avoid, and ethical responsibilities when working with generative AI systems. Through real-world case studies, participants will learn to make informed decisions and ensure responsible AI practices in their projects.

This session includes a focused exploration of best practices and common mistakes in training generative AI models, addressing key factors like prompt engineering, high-quality data, model selection, and robust evaluation techniques. Participants will gain insights into common pitfalls such as overfitting, underfitting, and biases that can undermine AI model performance and fairness. The session also covers ethical considerations and responsible AI guidelines to ensure transparency, fairness, and accountability. Real-world case studies and industry examples will help participants contextualize these lessons, while a look into emerging trends and future challenges will prepare them for evolving demands in generative AI development.

List of Topics Covered

Critical success factors for effective generative AI training
Model selection strategies and being model agnostic
Robust model evaluation and validation approaches
Common pitfalls like overfitting, underfitting, and data leakage
Addressing ethical considerations and responsible AI practices
Mitigating biases and ensuring fairness in generative AI outputs
Emerging trends and anticipated challenges in generative AI training
Responsible deployment and governance of generative AI systems

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Gen AI Readiness Workshop

Gen AI Readiness Workshop

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Dask: Data Scientist’s Power Tool

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Achieve your goals

Achieve your goals

transform your life through education

Achieve your goals

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Gen AI Readiness Workshop

Gen AI Readiness Workshop

Description:

Add Ons

Course Outline:

shambhvi

Looking for Team Training?

Public Classes

Get Started

Related Courses

Prepare for Microsoft Certified Devops Engineer Expert

Harnessing Perplexity AI – Real-Time Research Made Simple

Reasoning with DeepSeek

Dask: Data Scientist’s Power Tool

AI@Work: Using ChatGPT to Work Smarter

Headquarters

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resources

About Us

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