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  2. Prompt Engineering

Prompt Engineering Courses

Prompt engineering courses focus on creating effective inputs for AI models, particularly in natural language processing. You can learn about techniques for crafting prompts, understanding model behavior, and optimizing responses to achieve desired outcomes. Topics may include prompt design, evaluation metrics, and the use of various AI tools to refine your approach.

Popular Prompt Engineering Courses and Certifications


  • I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Tool Calling, Agentic systems, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, Responsible AI, Embeddings, Large Language Modeling, AI Integrations, Software Development

    4.6 stars, 1.2K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.6 (1.2K) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
  • P

    Packt

    Advanced Prompt Engineering and Memory Management

    Skills you'll gain: Retrieval-Augmented Generation, Memory Management, Context Management, User Interface (UI), Debugging

    Advanced · Course · 1 - 3 Months

  • E

    Edureka

    Advanced Prompting and Context Engineering

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Context Engineering, Multimodal Prompts, LLM Application, Responsible AI, AI Workflows, AI Security, Generative AI, Context Management, AI Integrations, AI powered creativity, Experimentation

    Advanced · Course · 1 - 3 Months

    Category: New
    New
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  • A

    Amazon Web Services

    Gen AI Dev- Implement Prompt Eng. Strategies & Governance

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, AI Orchestration, AI Security, Amazon Web Services, Generative AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Quality Assurance, Verification And Validation, Context Management, Model Evaluation, Governance, Software Development, Cloud Computing, Natural Language Processing, Machine Learning

    Advanced · Course · 1 - 3 Months

    Category: New
    New
  • I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Generative AI Agents, AI Personalization, ChatGPT, Mobile Development, AI literacy, Software Design, Anthropic Claude, AI Integrations, Personalized Campaigns, Software Architecture, Machine Learning Methods, Artificial Intelligence, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Continuous Integration, Software Development, Application Design

    4.7 stars, 12K reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.7 (12K) · Advanced · Specialization · 3 - 6 Months

  • What brings you to Coursera today?

  • J

    John Wiley & Sons

    Advanced Techniques and Applications in Prompt Engineering

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, ChatGPT, Generative AI, AI powered creativity, Responsible AI, OpenAI, AI literacy, Software Design, Machine Learning

    Advanced · Course · 1 - 3 Months

    Category: New
    New
  • A

    Amazon Web Services

    ML Engineer - Collect, Ingest, and Store Data

    Advanced · Course · 1 - 3 Months

    Category: New
    New
  • A

    Amazon Web Services

    AWS Generative AI Developer Advanced

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Personally Identifiable Information, Dashboard Creation, Token Optimization, Generative AI Agents, Responsible AI, AI Workflows, Generative AI, Agentic systems, Enterprise Architecture, API Design, API Gateway, Performance Tuning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Cloud Applications, Artificial Intelligence, Cloud Platforms, Machine Learning

    Advanced · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Category: New
    New
  • G

    Google

    Google IT Automation with Python

    Skills you'll gain: Version Control, Cloud Management, Test Automation, Infrastructure As A Service (IaaS), Cloud Computing, Cloud Infrastructure, Virtual Machines, Development Testing, Scripting, Software Testing, Cloud Services, Performance Tuning, Email Automation, Web Presence, Python Programming, CI/CD, Configuration Management, Program Development, Containerization, Unit Testing

    4.8 stars, 56K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.8 (56K) · Advanced · Professional Certificate · 3 - 6 Months

    Category: Build toward a degree
    Build toward a degree
  • S

    SkillUp

    Secondary Market Research and Analysis

    Skills you'll gain: Prompt Engineering, Responsible AI, Market Research, Market Analysis, Business Research, Market Intelligence, Market Data, Competitive Intelligence, Decision Making, Research Design, ChatGPT, Google Gemini, Gemini, Data Collection, Research Reports, Data Synthesis, Scope Management, Project Scoping, Generative AI, Data Validation

    Advanced · Specialization · 1 - 3 Months

    Category: New
    New
  • G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Programming, Data Cleansing, Data Manipulation, Data Structures, Interviewing Skills, NumPy, Google Gemini

    4.8 stars, 13K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.8 (13K) · Advanced · Professional Certificate · 3 - 6 Months

    Category: Build toward a degree
    Build toward a degree
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How to choose the right Prompt Engineering course

Start with your goal in prompt engineering. If you want to generate creative content using AI, choose courses that focus on creative writing prompts and narrative generation techniques. For integrating prompt engineering with machine learning models, check for courses covering frameworks like OpenAI's GPT and tools for fine-tuning prompts.


Best Prompt Engineering courses from Amazon Web Services

Top-rated Prompt Engineering courses offered by Amazon Web Services on Coursera.

  1. 1
    Gen AI Dev- Implement Prompt Eng. Strategies & Governance
    Amazon Web ServicesAdvanced1 - 3 MonthsAmazon Web Services
  2. 2
    ML Engineer - Collect, Ingest, and Store Data
    Amazon Web ServicesAdvanced1 - 3 MonthsAmazon Web Services
  3. 3
    AWS Generative AI Developer Advanced
    Amazon Web ServicesAdvanced3 - 6 Months2.8(4)Amazon Web Services

Best Prompt Engineering certificate programs

Earn a certificate in Prompt Engineering from top universities and companies.

  1. 1
    IBM RAG and Agentic AI
    IBMAdvanced3 - 6 Months4.6(1,176)Professional Certificate
  2. 2
    Generative AI for Mobile App Developers
    IBMAdvanced3 - 6 Months4.7(12,329)Specialization
  3. 3
    Google IT Automation with Python
    GoogleAdvanced3 - 6 Months4.8(55,994)Professional Certificate

Frequently Asked Questions about Prompt Engineering

Prompt engineering is the practice of designing and refining prompts to effectively communicate with AI models, particularly those that generate text. This skill is crucial as it directly influences the quality and relevance of the AI's output. In an era where AI is increasingly integrated into various industries, understanding how to craft effective prompts can enhance productivity, creativity, and problem-solving capabilities. By mastering prompt engineering, individuals can leverage AI tools more effectively, making this skill essential for anyone looking to stay competitive in the job market.‎

Careers in prompt engineering are emerging as AI technologies continue to evolve. Potential job titles include AI Prompt Engineer, Machine Learning Specialist, Data Scientist, and AI Product Manager. These roles often involve collaborating with AI systems to optimize their performance and ensure they meet user needs. Additionally, industries such as education, law, and technology are increasingly seeking professionals skilled in prompt engineering to enhance their AI applications, making this a promising field for job seekers.‎

To excel in prompt engineering, you should develop a mix of technical and creative skills. Key areas include understanding AI and machine learning fundamentals, familiarity with programming languages like Python, and knowledge of natural language processing (NLP). Additionally, honing your ability to think critically and creatively will help you craft effective prompts. Communication skills are also vital, as you will need to articulate your ideas clearly to both technical and non-technical stakeholders.‎

There are several online courses available that can help you learn prompt engineering. Notable options include the Prompt Engineering Specialization and the Essentials of Prompt Engineering. These courses provide foundational knowledge and practical skills to help you effectively engage with AI technologies. Additionally, specialized courses like AI Foundations: Prompt Engineering with ChatGPT offer targeted insights into using specific AI tools.‎

Yes. You can start learning prompt engineering on Coursera for free in two ways:

  1. Preview the first module of many prompt engineering 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 prompt engineering, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn prompt engineering, start by exploring foundational courses that introduce you to the principles of AI and prompt design. Engage with practical exercises to apply what you learn, and consider joining online communities or forums where you can share insights and ask questions. As you progress, seek out advanced courses that focus on specific applications of prompt engineering, such as Advanced Prompt Engineering for Everyone. This structured approach will help you build confidence and competence in the field.‎

Typical topics covered in prompt engineering courses include the basics of AI and machine learning, techniques for crafting effective prompts, and the evaluation of AI responses. You may also explore advanced concepts such as prompt optimization, ethical considerations in AI usage, and the integration of AI tools in various industries. These topics provide a comprehensive understanding of how to work with AI systems effectively.‎

For training and upskilling employees in prompt engineering, courses like the Prompt Engineering for Educators Specialization and NVIDIA: Prompt Engineering and Data Analysis are excellent choices. These programs are designed to equip professionals with the skills needed to leverage AI in their specific fields, fostering a more innovative and efficient workforce.‎

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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