Generative AI Fundamentals Training for Beginners

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Overview

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This comprehensive Generative AI Fundamentals Training for Beginners course builds essential skills in AI, Machine Learning, Deep Learning, Neural Networks, Transformers, NLP, GPT, BERT, LLMs, and Generative AI. Learn to use ChatGPT, Gemini, Claude, Hugging Face, Canva GPT, and Zapier for prompt engineering, responsible AI, content creation, data analysis, and workflow automation. By the end of this course, you will be able to: - Master AI & GenAI Fundamentals: Understand AI, ML, DL, and Generative AI concepts - Understand AI Architectures: Explore Neural Networks, Transformers, BERT, GPT, and LLMs - Apply NLP & GenAI Models: Understand NLP techniques and major GenAI model types - Master Prompt Engineering: Create effective prompts and use ChatGPT for practical tasks - Use GenAI Tools: Work with ChatGPT, Gemini, Claude, Hugging Face, and specialized GPTs - Automate Workflows: Apply GenAI and Zapier to improve business productivity - Apply Responsible AI: Understand AI security, bias, limitations, and responsible use - Solve Business Problems: Apply GenAI to marketing, customer service, software, and data analytics Ideal for beginners, students, and professionals seeking practical Generative AI, AI, Machine Learning, ChatGPT, and prompt engineering skills.

Syllabus

Introduction to Generative AI and Artificial Intelligence Foundations
- Build a strong foundation in Generative AI and Artificial Intelligence by exploring core concepts, practical use cases, AI evolution, types, and key components. Learn how AI powers everyday applications, its benefits, limitations, and challenges. This module introduces essential Generative AI fundamentals and equips learners with the knowledge to understand AI technologies, capabilities, and real-world applications.
Foundations of Machine Learning
- Explore the foundations of Machine Learning (ML) and Deep Learning (DL), from early AI milestones and key breakthroughs to modern business applications. Understand different types of machine learning, including reinforcement learning, and compare ML vs DL. Through real-world case studies from Google Ads, Netflix, and Amazon Alexa, learn how AI, ML, and DL drive business innovation and intelligent applications.
Neural Networks and Transformer Fundamentals
- Understand Neural Networks, Attention Mechanisms, and Transformer Models, covering neural network types, self-attention, and transformer architecture. Learn how encoders and decoders work and explore key applications through the Amazon case study. This module builds practical knowledge of the AI architectures powering Generative AI, Large Language Models (LLMs), and modern machine learning applications.
Transformer Applications and NLP Basics
- Explore Transformer applications, Natural Language Processing (NLP), BERT, and GPT models, covering text processing, transformer advantages, and how these architectures revolutionized AI. Learn how BERT uses Masked Language Modeling (MLM), explore real-world applications, and understand GPT, zero-shot and few-shot learning, and prompt engineering. Build practical knowledge of NLP techniques, categories, and AI-powered language applications.
NLP Applications and GenAI Models
- Explore NLP applications, Generative AI (GenAI) models, and business use cases, covering chatbots, text classification, and real-world applications through the Bank of America case study. Learn about LLMs, GANs, VAEs, and diffusion models, along with their capabilities and limitations. Discover leading GenAI applications and tools and understand how businesses leverage them to drive productivity, innovation, and efficiency.
Prompt Engineering, Responsible AI, and ChatGPT Basics
- Master Prompt Engineering, ChatGPT, Responsible AI, and open-source AI tools through practical demonstrations. Learn to create product launch campaigns, translate content, build LinkedIn profiles, and perform sentiment analysis using ChatGPT. Explore Hugging Face Spaces, GenAI security, bias, responsible AI practices, and emerging AI trends while understanding how ChatGPT can streamline everyday tasks and improve productivity.
ChatGPT Capabilities and Comparisons
- Explore ChatGPT’s multimodal capabilities, content generation, and data analysis through practical demonstrations. Learn how to analyse customer feedback, compare ChatGPT 3.5, GPT-4, and GPT-4o based on use cases and prompts, and discover GPT categories and applications. Gain hands-on experience creating marketing content with Write for Me GPT and designing engaging visuals using Canva GPT for business and creative needs.
Specialized GPTs and Business Applications
- Explore specialised GPTs, Generative AI applications, and workflow automation across business functions. Learn how DesignerGPT, Consensus GPT, and Universal Primer GPT support website design, research, and educational content. Discover AI-powered sales, marketing, software engineering, and data analytics use cases, including video creation, UI design, workflow automation with Zapier, and data integrity, through practical demonstrations.
GenAI Operations and Advanced Tools
- Explore Generative AI (GenAI) applications in customer service, operations, marketing, and content creation. Learn to transcribe audio calls and leverage Google Gemini, Descript, and Claude for practical business tasks. Create marketing strategies, AI-powered videos, and blog content while understanding how advanced GenAI tools improve productivity, automate workflows, and support innovative business outcomes.

Taught by

Priyanka Mehta

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