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  • Generative Ai

Results for "generative ai"


  • I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    Coursera Plus

    Included with Coursera Plus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Generative AI Leader

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Google Gemini, Retrieval-Augmented Generation, Responsible AI, Gemini, Generative AI, Google Workspace, Google Cloud Platform, Generative Model Architectures, AI Product Strategy, Prompt Patterns, AI Enablement, AI Security, Agentic Workflows, AI literacy, Prompt Engineering Tools, Artificial Intelligence, Cloud Computing, Collaboration

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI literacy, Data Ethics, AI Enablement, LLM Application, AI Product Strategy, Artificial Intelligence, Retrieval-Augmented Generation, Business Process Automation, Automation, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering, AI literacy, Google Cloud Platform, Large Language Modeling, Artificial Intelligence, Deep Learning, Statistical Machine Learning

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, Data Ethics, AI literacy, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • V

    Vanderbilt University

    Generative AI Automation

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, AI Workflows, AI powered creativity, Responsible AI, Data Visualization, Document Management, Ideation, Verification And Validation, Data Presentation, LLM Application, AI literacy, Generative AI, AI Enablement, Risking, Multimodal Prompts, Image Analysis, Artificial Intelligence, Data Compilation

    Coursera Plus

    Included with Coursera Plus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • A

    Adobe

    Generative AI Content Creation

    Skills you'll gain: Adobe Express, Responsible AI, AI powered creativity, Generative AI, Data Ethics, AI literacy, Graphic Design, Image Quality, Prompt Engineering, Artificial Intelligence, AI Workflows, Creativity, AI Integrations, Verification And Validation

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    960 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Generative AI Agents, Software Design Documents, Software Design, AI literacy, AI Integrations, Software Architecture, Agentic Workflows, Continuous Integration, Software Development, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Security, Software Engineering, Augmented and Virtual Reality (AR/VR), Model Evaluation

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI for Product Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, ChatGPT, Generative AI, Commercialization, Product Management, AI Enablement, Google Gemini, Product Lifecycle Management, Stakeholder Communications, Technical Product Management, LLM Application, AI literacy, Customer experience improvement, Team Building, Responsible AI, Stakeholder Engagement, Artificial Intelligence and Machine Learning (AI/ML), Creativity

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

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  • I

    IBM

    Generative AI for Executives and Business Leaders

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Responsible AI, AI Product Strategy, Data Ethics, AI Enablement, Generative AI, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Risking, Compliance Training, IBM Cloud, Strategic Thinking, Data Management, Strategic Leadership, AI literacy, Law, Regulation, and Compliance, Data Strategy

    Coursera Plus

    Included with Coursera Plus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    730 reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Generative Model Architectures, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Model Evaluation, Machine Learning

    Coursera Plus

    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • A

    Amazon Web Services

    Introduction to Generative AI - Art of the Possible

    Skills you'll gain: Amazon Bedrock, Generative AI, AI Product Strategy, AI Enablement, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    164 reviews

    Beginner · Course · 1 - 4 Weeks

1234…415

In summary, here are 10 of our most popular generative ai courses

  • Generative AI: Introduction and Applications: IBM
  • Generative AI Leader: Google Cloud
  • Generative AI for Everyone: DeepLearning.AI
  • Introduction to Generative AI : Google Cloud
  • Generative AI Fundamentals: IBM
  • Generative AI Automation: Vanderbilt University
  • Generative AI Content Creation: Adobe
  • Generative AI for Software Developers: IBM
  • Generative AI for Product Managers: IBM
  • Generative AI for Executives and Business Leaders: IBM

Frequently Asked Questions about Generative Ai

Generative AI refers to a subset of artificial intelligence that focuses on creating new content, whether it be text, images, music, or other forms of media. This technology is important because it has the potential to revolutionize various industries by automating creative processes, enhancing productivity, and enabling personalized experiences. As businesses increasingly adopt generative AI, understanding its capabilities and applications becomes crucial for anyone looking to stay relevant in the job market.‎

Careers in generative AI are diverse and growing rapidly. You can explore roles such as AI Engineer, Data Scientist, Machine Learning Engineer, and Software Developer, among others. Additionally, positions like AI Product Manager and Generative AI Consultant are emerging as organizations seek professionals who can effectively integrate this technology into their operations. The demand for skilled individuals in this field is expected to continue rising, making it a promising area for career development.‎

To succeed in generative AI, you should develop a strong foundation in programming languages such as Python or Java, as well as a solid understanding of machine learning concepts. Familiarity with AI frameworks and tools, such as TensorFlow or PyTorch, is also beneficial. Additionally, skills in data analysis, natural language processing, and creative thinking will enhance your ability to work with generative AI technologies effectively.‎

There are several excellent online courses available for learning about generative AI. For instance, the AWS Generative AI Applications Professional Certificate provides practical insights into applying generative AI in real-world scenarios. Another option is the IBM Generative AI Engineering Professional Certificate, which focuses on engineering aspects. These courses can help you build a solid understanding of generative AI principles and applications.‎

Yes. You can start learning generative AI on Coursera for free in two ways:

  1. Preview the first module of many generative AI courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in generative AI, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn generative AI, start by identifying your learning goals and the specific areas of interest within the field. Enroll in online courses that match your objectives, such as those focusing on programming, machine learning, or specific applications of generative AI. Engage with hands-on projects to apply what you learn, and consider joining online communities or forums to connect with others in the field. Consistent practice and exploration will help you build confidence and expertise.‎

Generative AI courses typically cover a range of topics, including the fundamentals of machine learning, neural networks, and natural language processing. You may also learn about specific generative models, such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Additionally, courses often explore practical applications, ethical considerations, and the integration of generative AI into various industries.‎

For training and upskilling employees, courses like the Generative AI for Software Development Skill Certificate and the Microsoft 365 with Generative AI Professional Certificate are excellent choices. These programs focus on practical skills and applications, making them suitable for organizations looking to enhance their workforce's capabilities in generative AI.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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