2Month/20 Hour Price:85,000

80,000

Artificial Intelligence Nanodegree A beginner-friendly Course

The Artificial Intelligence Nanodegree offers a beginner-friendly introduction to the core concepts of AI. It’s designed for individuals looking to understand AI's principles, applications, and impact across industries without requiring prior technical knowledge. By the end of the course, learners will have a solid foundation in AI and the confidence to pursue further AI-related education or incorporate AI insights into their professional careers.

Course Objectives:

Develop a foundational understanding of AI concepts, techniques, and applications
Understand the various types of AI, including Machine Learning and Neural Networks
Learn about the real-world applications of AI in industries such as business, healthcare, and transportation
Explore the ethical and societal implications of AI technologies
Be introduced to basic AI tools and frameworks without coding requirements

Module 1: Understanding Artificial Intelligence

What is AI?
Types of AI:
Narrow AI vs. General AI
Machine Learning, Deep Learning, and Neural Networks (overview)
Applications of AI:
AI in everyday life (voice assistants, chatbots, recommendations)

Module 2: Machine Learning for Beginners

Introduction to Machine Learning:

What is Machine Learning (ML)?
Key ML concepts (supervised vs. unsupervised learning)
Basic ML Models
Regression, Classification, and Clustering
Practical Applications of ML:
AI in data analysis, predictive modeling, and customer insight

Module 3: AI in Action: Real-World Use Cases

AI in Business: Automation and AI in Decision-making
AI in customer service (chatbots and virtual assistants)
AI in Healthcare:
AI in diagnostics and personalized medicine
AI in Transportation and Robotics:
Self-driving cars and robotic process automation
AI in Creative Industries:
AI in art, design, and content creation

Module 4: Introduction to AI Tools and Frameworks

Exploring AI Tools

Overview of basic AI platforms and frameworks
Introduction to non-coding AI tools like Google AutoML and IBM Watson

Guided demonstrations of AI-powered tools
Using AI tools for simple, practical applications

Module 5: Final Project and Course Wrap-up

AI Case Study Analysis:
Review a real-world AI application and discuss its impact
Group Discussion and Reflection:
Reflect on how AI can impact various industries
Final Assignment:
Prepare and present a simple AI strategy for a specific industry or problem

Career Path After Completion:

Upon completing this Nanodegree, learners will be prepared to:

AI Product Manager:
Manage AI-driven products and work with AI development teams.
AI Consultant:
Advise organizations on AI integration and strategy.
AI Research Assistant:
Support basic AI research and data analysis.
Digital Transformation Specialist:

International student fees:350

Job Interview Preparation (Soft Skills Questions & Answers)

Tough Open-Ended Job Interview Questions
What to Wear for Best Job Interview Attire
Job Interview Question- What are You Passionate About?
How to Prepare for a Job Promotion Interview

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