🤖 AI & Machine Learning

Career Essentials in Generative AI

This course provides a comprehensive overview of the essential skills and knowledge required to build a successful caree...

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Sections

1. Introduction to Generative AI
17 views

Explore the basics of generative AI, including its definition, history, and significance in the modern world.

9 topics (9 versions)

1.1What is Generative AI?

1.2History of Generative AI

1.3Key Concepts in Generative AI

1.4Generative AI vs. Traditional AI

1.5Applications of Generative AI

1.6Current Trends in Generative AI

1.7Challenges in Generative AI

1.8Future of Generative AI

1.9Generative AI in Industry

2. Fundamentals of Machine Learning
9 views

Understand the foundational principles of machine learning that underpin generative AI technologies.

9 topics (9 versions)

2.1Introduction to Machine Learning

2.2Types of Machine Learning

2.3Supervised vs. Unsupervised Learning

2.4Key Algorithms in Machine Learning

2.5Data Preprocessing Techniques

2.6Model Evaluation and Validation

2.7Overfitting and Underfitting

2.8Feature Engineering

2.9Model Optimization

3. Deep Learning for Generative Models
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Delve into the deep learning architectures and techniques that are pivotal for building generative models.

9 topics (9 versions)

3.1Introduction to Deep Learning

3.2Neural Networks

3.3Convolutional Neural Networks (CNNs)

3.4Recurrent Neural Networks (RNNs)

3.5Generative Adversarial Networks (GANs)

3.6Variational Autoencoders (VAEs)

3.7Transformers in Generative AI

3.8Training Deep Generative Models

3.9Evaluation of Generative Models

4. Natural Language Processing (NLP) in Generative AI
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Explore the role of NLP in generative AI, including key techniques and applications.

9 topics (9 versions)

4.1Introduction to NLP

4.2Tokenization and Embeddings

4.3Sequence to Sequence Models

4.4Language Models

4.5Text Generation with AI

4.6Sentiment Analysis

4.7Chatbots and Conversational AI

4.8NLP for Creative Writing

4.9Machine Translation

5. Computer Vision and Generative AI
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Learn about the applications of generative AI in computer vision, including image and video synthesis.

9 topics (9 versions)

5.1Introduction to Computer Vision

5.2Image Recognition and Classification

5.3Object Detection

5.4Image Generation with GANs

5.5Style Transfer Techniques

5.63D Model Generation

5.7Video Synthesis

5.8Augmented Reality Applications

5.9Facial Recognition Technologies

6. Generative AI Tools and Frameworks
12 views

Get hands-on experience with popular tools and frameworks used to develop generative AI applications.

9 topics (9 versions)

6.1Introduction to AI Tools

6.2TensorFlow and Keras

6.3PyTorch for Generative AI

6.4OpenAI's GPT

6.5DeepMind's AlphaFold

6.6Hugging Face Transformers

6.7Fast.ai for Rapid Prototyping

6.8Google Cloud AI Platform

6.9AWS AI Services

7. Ethics and Social Impact of Generative AI
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Examine the ethical challenges and societal impacts posed by generative AI technologies.

9 topics (9 versions)

7.1AI Ethics Overview

7.2Bias in AI Systems

7.3Privacy Concerns

7.4AI and Job Displacement

7.5Fairness in AI

7.6Transparency and Explainability

7.7AI in Surveillance

7.8Regulation and Policy

7.9AI for Social Good

8. Building a Career in Generative AI
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Guidance on building a successful career in the field of generative AI, including skills development and career opportunities.

9 topics (9 versions)

8.1Career Paths in Generative AI

8.2Essential Skills for AI Professionals

8.3Educational Pathways

8.4Networking and Community Involvement

8.5Building a Portfolio

8.6Interview Preparation

8.7Freelancing in AI

8.8AI Startups and Entrepreneurship

8.9Continuing Education in AI

9. Case Studies and Real-World Applications
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Analyze real-world case studies to understand the practical applications of generative AI across various industries.

9 topics (9 versions)

9.1AI in Healthcare

9.2Generative AI in Finance

9.3AI for Art and Creativity

9.4AI in Marketing and Advertising

9.5Generative AI in Gaming

9.6AI in Manufacturing

9.7AI for Environmental Solutions

9.8AI in Education

9.9AI in Transportation

10. Future Trends in Generative AI
1 views

Explore the emerging trends and future directions of generative AI technology.

9 topics (9 versions)

10.1AI and Quantum Computing

10.2Edge AI and IoT

10.3AI for Personalized Medicine

10.4AI and Blockchain

10.5Collaborative AI Systems

10.6AI for Climate Change

10.7Human-AI Collaboration

10.8AI in Space Exploration

10.9Next-Gen AI Models

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Career Essentials in Generative AI

Sections

1. Introduction to Generative AI17 views

2. Fundamentals of Machine Learning9 views

3. Deep Learning for Generative Models14 views

4. Natural Language Processing (NLP) in Generative AI13 views

5. Computer Vision and Generative AI10 views

6. Generative AI Tools and Frameworks12 views

7. Ethics and Social Impact of Generative AI8 views

8. Building a Career in Generative AI2 views

9. Case Studies and Real-World Applications1 views

10. Future Trends in Generative AI1 views

Sign in to track your progress

1. Introduction to Generative AI
17 views

2. Fundamentals of Machine Learning
9 views

3. Deep Learning for Generative Models
14 views

4. Natural Language Processing (NLP) in Generative AI
13 views

5. Computer Vision and Generative AI
10 views

6. Generative AI Tools and Frameworks
12 views

7. Ethics and Social Impact of Generative AI
8 views

8. Building a Career in Generative AI
2 views

9. Case Studies and Real-World Applications
1 views

10. Future Trends in Generative AI
1 views