AI+ Foundation™
AI+ Foundation™
Building the Future with AI: A Strong Foundation for Tomorrow’s Innovators
- Beginner-Friendly Course: Ideal starting point to explore AI principles and practical tools
- Foundational Learning: Covers AI fundamentals, real-world applications, and ethics
- No Technical Background Needed: Requires basic interest in using technology
Prerequisites
- Basic familiarity with using technology.
- Curiosity about AI applications in different industries.
- Interest in ethical considerations related to AI’s impact on society.
- 1.1 Understanding AI
- 1.2 AI in Everyday Life
- 1.3 Introduction to Machine Learning
- 1.4 Use-Case, Case Study, and Hands On Activity
- 2.1 Defining Prompt Engineering and its Importance
- 2.2 Enhancement through Well-Crafted Prompts
- 2.3 Exploring GPT-4
- 2.4 Use-Case, Case Study, and Hands On Activity
- 3.1 Crafting AI Strategies
- 3.2 Key AI Tools for Business
- 3.3 Power of GAN AI
- 3.4 Use-Case, Case Study, and Hands On Activity
- 4.1 Overview of Ethical Considerations in AI
- 4.2 Data Collection and Bias consequences
- 4.3 Bias Impact on Decision-Making
- 4.4 Use-Case, Case Study, and Hands On Activity
- 5.1 AI’s Role in Addressing Global Challenges
- 5.2 How AI is Reshaping Industries and the Nature of Work
- 5.3 Job Displacement vs. Job Creation
- 5.4 Skills of the Future
- 5.5 Use-Case, Case Study, and Hands On Activity
ChatGPT
Humata AI
Amto AI
AI Lawyer
Passing Score : 70% (35/50)
Number of Multiple Choice Question : 50 MCQs, 90 Minutes
Number of exams required for certification : 1
Exam Blueprint
- Introduction to AI & Its Impact – 20%
- Prompt Engineering – Interacting with AI – 20%
- AI in Business & Industry Applications – 20%
- AI Ethics & Bias – 20%
- The Future of AI & Career Opportunities – 20%
Implement Ethical AI Practices:
Understand the ethical challenges associated with AI adoption and apply ethical considerations to real-world AI implementations.
Prepare Data for AI Models:
Analyze and preprocess data to ensure it is suitable for training AI models, focusing on cleaning, transforming, and structuring data.
Utilize AI Tools and Platforms:
Demonstrate proficiency in using AI-powered tools for tasks such as automation, data analysis, and content generation.
Apply Machine Learning Algorithms:
Identify and apply machine learning algorithms (e.g., regression, classification, clustering) to solve practical problems.
AI Product Manager
Oversee AI product development, ensuring successful integration and market fit.
AI Research Analyst
Conduct research on AI models, trends, and industry applications.
AI Ethics Consultant
Advise on responsible AI use, ensuring fairness, transparency, and compliance.
AI Solutions Architect
Design and implement AI systems to optimize business processes efficiently.
Machine Learning Engineer
Develop, test, and deploy machine learning models for automation tasks.
FAQ
Who is this course intended for?
This course will benefit everyone, as it is designed for individuals who are new to AI or want to enhance their understanding of how AI is used in different sectors. It is ideal for professionals, business leaders, and those interested in applying AI responsibly in their work.
What technical skills will I gain from this course?
Learners will gain skills in prompt engineering, data preprocessing for AI, machine learning algorithms, ethical AI implementation, and using AI tools for automation and optimization in real-world applications.
How will this course be delivered?
The course includes interactive discussions, case studies, practical exercises, and use cases to ensure participants gain hands-on experience. It will be delivered through a mix of video content, readings, and group activities.
Can I apply AI principles in my industry after completing the course?
Yes, the course covers real-world applications of AI across different industries. You will gain insights into how to apply AI in your field, from optimizing workflows to enhancing decision-making processes.
Is prior knowledge of AI required to take this course?
No prior knowledge of AI is required. The course is designed for beginners and provides foundational knowledge in AI concepts, making it accessible to those with no previous experience.
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