Simplilearn

Generative AI Fundamentals Training for Beginners

Simplilearn

Generative AI Fundamentals Training for Beginners

Priyanka Mehta

Instructor: Priyanka Mehta

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply GenAI tools to customer service and business operations

  • Use Gemini, Descript, and Claude for practical business tasks

  • Create AI-powered marketing strategies, videos, and blog content.

  • Automate workflows to improve productivity and business efficiency

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

October 2026

Assessments

35 assignments¹

AI Graded see disclaimer
Taught in English

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Generative AI for Managers and Decision Makers Certification Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 9 modules in this course

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.

What's included

9 videos1 reading3 assignments

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.

What's included

11 videos4 assignments

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.

What's included

12 videos4 assignments

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.

What's included

11 videos4 assignments

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.

What's included

13 videos4 assignments

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.

What's included

11 videos4 assignments

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.

What's included

9 videos4 assignments

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.

What's included

11 videos4 assignments

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.

What's included

10 videos4 assignments

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Instructor

Priyanka Mehta
Simplilearn
100 Courses92,383 learners

Offered by

Simplilearn

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.