Generative AI for Beginners: Starting with Generative AI In 2024

Generative AI for beginners is a term used by people who have minimal experience with artificial intelligence. Aren’t you fascinated by the vast possibilities and features of Generative AI technologies? The positive changes it can bring to the way we used to interact with technologies are phenomenal. 

If you want to delve into the realm of generative AI for beginners and collect some productive tutorials then we are starting to cover every fundamental and principle of generative AI in this tutorial blog.

What is Generative AI for Beginners?

How Generative AI Is Trending?

• ChatGPT: It is a conversational AI model used to create dynamic, context-aware solutions while solving complex queries. It gained immense popularity by its AI features, which enable users to interact with and fine-tune chatbot responses with interactive feedback. GPT 4.0 is the latest update on open AI with the power of generative AI features.

• Google Bard: This generative AI model is offered by Google for creating interactive dialogues, research, and creative writing. The main objective of Bard was to advance transformer AI techniques for language processing, analysis, and other content types. It is not an open-source interface model available for public interface.
• DALLE-E: This powerful generative AI model creates unique and detailed images based on textual descriptions. This generative AI model was developed by Open AI in 2021. DALLE-E can establish connections between various media forms such as vision, text, audio, etc. It can create custom visuals of a person, place, or gadgets easily. 

Generative AI Fundamentals 

• Generative AI relies on neural Networks like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based architectures like GPT, BERT, etc.
• The Generative AI models are trained on large datasets to learn patterns, structure, and features of input data to generate realistic outputs.
• Generative AI uses probability distributions to predict and generate unique content. It is a powerful tool for content creation using natural language processing,and  simulation tasks. 

Certification of Generative AI for Beginners

What is the Generative AI Principle and Working?

Generative AI Principle

Generative AI Working

• Gen-AI Training: The AI is trained on vast amounts of data to understand underlying patterns. For example, for text generation, it learns grammar, style, and context. For images, it learns shapes, textures, and objects.
• Data Representation: The AI creates an internal representation of the data through neural networks, encoding essential features and patterns.
• Generation: Once trained, the model generates new content. It does so by sampling from the learned distribution of data. For text, it predicts the next word based on previous words; for images, it generates new pixels based on learned features.
• Refinement: In some models, like GANs, the generated content is refined through feedback mechanisms (e.g., a discriminator network in GANs evaluates and improves the generated output).

Applications of Generative AI for Beginners

• Content Creation: Generate text, articles, or captions using tools like ChatGPT.
• Image Generation: Create unique artwork, designs, or illustrations with tools like DALL-E.
• Code Assistance: Write and debug code using AI-powered tools like GitHub Copilot.
• Music Composition: Compose music or soundtracks through platforms like AIVA.
• Chatbots: Build conversational agents for customer support or personal use.
• Style Transfer: Transform photos into artistic styles or mimic famous artworks.
• Personalized Recommendations: Use AI to suggest products, movies, or books.
• Education: Summarize lessons, explain concepts, or create quizzes with AI tools.
• Data Augmentation: Expand datasets by generating synthetic examples for training AI models.
• Gaming: Create characters, storylines, or game environments using generative models.

Generative AI Bootcamp by PW Skills

Module 1: Introduction to Artificial Intelligence

• What is AI?
• Historical Development and Key Milestones
• Distinction between AI, Machine Learning and Deep Learning
• Understanding What makes AI “Generative”?
• How does Generative AI fit into the AI Ecosystem?
• Overview of AI subfields
• What sets Generative AI apart from other forms?
• Essential Terminology: Algorithms, Neural networks Models

Module 2: Evolution of Generative AI

• Early AI systems: Rule Based AI
• The Rise of Machine Learning
• Emergence of Generative AI
• Deep Learning Role in Advanced Gen AI
• Evolution of Large Language Model from GPT 2 to GPT 4.
• Transformative Role of Pre-trained models

Module 3: Understanding Generative AI 

• Generative AI Insights
• Capabilities of Generative AI
• Key Generative Models
• What is the role of Generative AI Models
• Generative AI vs Traditional AI
• What does Generative AI do?

Module 4: How Generative AI Works?

• Basics of AI Models
• Training Gen AI Models
• Prompt Engineering

Module 5: Overview of Generative AI tools

• Text Based Tools: ChatGPT
• Image Based Tools: DALLE-E
• Video and Audio Based Tools: Runway ML, Fish Audio, ElevenLabs
• AI-Based Research: AI-Driven research and information summarization

Module 6: Applications of Generative AI models Across Different Sectors

• Marketing and Advertising
• Content Creation 
• Design and Art
• Customer Service Support
• Education and Learning
• Software Development
• Exclusive Case Studies by PwC

Module 7: Prompt Engineering 

• What is Prompt Engineering?
• Effective Prompt Structuring
• Advanced Prompting Techniques
• Prompt Iteration
• Hands on Case Studies based on Text, Images, audio, and Video

Module 8: Overview of Generative AI and Features

• Understanding Generative AI features
• Retrieval Augmented Generation (RAG)
• Architectural Components 
• Langchain and Langraph
• Vector Databases

Module 9: Ethical and Logical Implications of Generative AI 

• Ethical Consideration of Generative AI
• Regulation and Governance
• Ethical Solutions
• Live Lessons

Module 10:

• Exclusive Masterclasses by PwC on Generative AI and Case Studies.

Generative AI for Beginners with PW Skills