Generative AI Courses and Certifications

Building Gen AI App 12+ Hands-on Projects with Gemini Pro

1473 ratings at Udemy

Mastering AI Innovation: Building and Fine-tuning Generative AI Applications with Google Gemini Models And Langchain

• Udemy
• 15 hours 49 minutes
• Self-Paced
• Paid Course

Introduction to AI

Explore foundational AI concepts, machine learning, and generative AI applications. Understand capabilities, limitations, and workplace integration of AI tools.

• Coursera
• 1 hour 25 minutes
• Self-Paced
• Paid Course

Sustainable Innovation with AI: Master GenAI for Change

1416 ratings at Udemy

Use AI‑driven insights to create sustainable innovation, improve efficiency, and support ESG and CSR goals.

• Udemy
• 4 hours 9 minutes
• Self-Paced
• Paid Course

Become an AI-Powered Engineer: ChatGPT, Github Copilot

1321 ratings at Udemy

Take the comprehensive course on ChatGPT, GitHub Copilot, and Copilot Labs to learn how to write code 2x faster.

• Udemy
• 1 hour 59 minutes
• Self-Paced
• Free Online Course

Career Certificate

IBM RAG and Agentic AI

1 rating

Master advanced generative AI skills including RAG pipelines, multimodal AI integration, and autonomous agent systems using tools like LangChain, LangGraph, CrewAI, and BeeAI to create sophisticated AI applications.

• Coursera
• 8 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 6 courses

Coursera

GenAI for Digital Marketing Specialists

1 rating

Explore how Generative AI revolutionizes digital marketing strategies, enhancing content creation, brand development, and data analysis for improved efficiency and outcomes.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

Generative AI:Beginner to Pro with OpenAI & Azure OpenAI

1287 ratings at Udemy

Gen-AI Basics, OpenAI, AI Search, RAG, Fine Tuning, Tools, LangChain , AI Foundry ,AI Agents , MCP, Semantic Kernel

• Udemy
• 16 hours 44 minutes
• Self-Paced
• Paid Course

Maximize Productivity With AI Tools

Discover how to leverage generative AI tools to accelerate work tasks, determine when AI is appropriate, and effectively integrate it into your workflows to boost productivity.

• Coursera
• 1 hour 49 minutes
• Self-Paced
• Paid Course

AI best practices for people manager and team members

1189 ratings at Udemy

Supercharge AI utilization, boost productivity, copy Generative AI best practices & use cases, live an AI First mindset

• Udemy
• 4 hours 56 minutes
• Self-Paced
• Paid Course

How to Use AI Tools with Confidence: A Hands-On Workshop (Live Online)

8 ratings at CourseHorse

Learn core AI concepts and explore how today’s tools are changing business workflows and decision-making.

• CourseHorse
• 3 hours
• Self-Paced
• $399.00

Gen AI: Beyond the Chatbot

Explore the true potential of generative AI beyond chatbots, learning about foundation models, prompt engineering, and developing effective organizational AI strategies.

• Coursera
• 2 hours 51 minutes
• Self-Paced
• Paid Course

GenAI for Executives & Business Leaders: An Introduction

Gain insights into generative AI's business impact, from foundation models to ethical implementation, while learning practical applications for customer service and modernization strategies.

• Coursera
• 3 hours 9 minutes
• Self-Paced
• Paid Course

Fractal Analytics

GenAI for Everyone

Explore Generative AI's capabilities, applications, and ethical considerations. Learn to build chatbots, understand AI principles, and create responsible solutions for positive societal impact.

• Coursera
• 9 hours 39 minutes
• Self-Paced
• Paid Course

Gen AI Foundational Models for NLP & Language Understanding

Learn to implement, train, and evaluate generative AI models for NLP using PyTorch. Covers document classification, language modeling, translation, and building language models. Includes hands-on labs for practical application.

• Coursera
• 9 hours 57 minutes
• Self-Paced
• Paid Course

Gen AI: Unlock Foundational Concepts

Unlock foundational concepts of generative AI, exploring AI/ML differences, data types, Google Cloud strategies for foundation models, and responsible AI development challenges.

• Coursera
• 3 hours 39 minutes
• Self-Paced
• Paid Course