Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding AI, its impact and transformative potential for your organization and our society is of paramount importance.
AI Foundations for Everyone: A Practical Intro for Beginners Specialization
AI Foundations for Everyone: A Practical Intro for Beginners Specialization
Unlock your potential with AI. Build job-ready AI skills to enhance your career. Everyone welcome. No prior AI background required.
Instructors: Rav Ahuja
Included with 
Get in-depth knowledge of a subject
(4,419 reviews)
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(4,419 reviews)
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
- Deep Learning
- Workflow Management
- Data Science
- Image Quality
- Machine Learning
- LLM Application
- Prompt Patterns
- Responsible AI
- Application Deployment
- Business Workflow Analysis
- Action Oriented
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Self Service Technologies
- Natural Language Processing
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
33 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from IBM
Specialization - 4 course series
What you'll learn
Explain the fundamental concepts and applications of AI in various domains.
Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.
Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.
Design a generative AI solution for an organizational challenge, integrating ethical considerations.
Skills you'll gain
Generative AI, Responsible AI, LLM Application, Market Opportunities, and Natural Language Processing
What you'll learn
Describe generative AI and distinguish it from discriminative AI.
Describe the capabilities of generative AI and its use cases in the real world.
Identify the applications of generative AI in different sectors and industries.
Explore common generative AI models and tools for text, code, image, audio, and video generation.
Skills you'll gain
Generative AI, ChatGPT, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), and Machine Learning
What you'll learn
Explain the concept and relevance of prompt engineering in generative AI models.
Apply the best practices for creating prompts.
Assess commonly used tools for prompt engineering.
Apply common prompt engineering techniques and approaches for writing effective prompts.
Skills you'll gain
Prompt Patterns, Prompt Engineering, ChatGPT, Generative AI, and Image Quality
What you'll learn
The job-ready chatbot skills businesses need in just 6 weeks! No programming experience required.
How to embed an AI powered recommendation system into a chatbot to ensure personalized customer service.
How to implement and test complex workflows within chatbot actions to enhance user interactions.
Hands-on experience deploying a chatbot in a real-world scenario.
Skills you'll gain
Workflow Management, Customer experience improvement, IBM Cloud, Personalized Service, Customer Service, Generative AI, Application Deployment, WordPress, Artificial Intelligence, Business Workflow Analysis, Operational Efficiency, Prompt Engineering, ChatGPT, Action Oriented, No-Code Development, Self Service Technologies, and LLM Application
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This specialization consists of 3 self-paced courses. Each course can be completed in 4 weeks if working 2-4 hours per week. At this pace the entire specialization can be completed within 2-3 months. If working 10-12 hours per week, it can be completed within 1 month.
This specialization is open to anyone, whether you have technology background or not. It does NOT require any background in AI, Computer Science, Math or Programming.
Yes, it is highly recommended to complete the courses in the specified order.
More questions
Financial aid available,