4.49 out of 5
4.49
217 reviews on Udemy

Generative AI and ChatGPT Masterclass for Software Engineers

Master ChatGPT 4o, AWS Gen AI, Bedrock, Gemini and Generative AI: Hands-on training. Basics of Generative AI to advanced
Instructor:
Mohammed Fahim | Generative AI, Chatgpt trainer | AI professional
2,390 students enrolled
English [Auto]
Artificial Intelligence : Basics of AI. Key Concepts of AI, AI/ML Differences, Deep Learning. Real life examples of AI, ML, Deep Learning and Generative AI.
Generative AI Internals : GPT (Generative Pre-trained Transformer), Gen AI timeline, Democratization of AI
ChatGPT 4o : Effective Prompts to improve productivity. Build career - Create resume and prepare for interview. 1000+ Prompts with practical examples
Open AI : Models, APIs, Invoking APIs using Postman, Playground, Tokens, Temperature, Pricing, Usage, Billing. Productivity versus Product development.
Open AI Evolution: Tracing the evolution and milestones of OpenAI and ChatGPT tech stack - Examining the technological stack behind ChatGPT.
ChatGPT alternatives : Exploring alternative models like Google Gemini and Copilot in the context of chat-based AI. Comparing DALL-E 2, DALL-E 3 & Midjourney.
Jupyter Notebook and Jupyter Lab : Using Jupyter Lab for seamless interaction. Examples of using ChatGPT and other models within a notebook .
Prompt Examples in Notebook : Practical examples of using prompts within Jupyter Notebooks. Tips for effective prompt formulation.
Calculate Token Pricing - Tiktoken : Introduction to Tiktoken. Understanding token pricing and calculating costs for different interactions.
Talk to Your Data - English Lang for SQL: Leveraging generative models for natural language interactions with data.
Hands-on Programs for Open AI models : Whisper, DALL-E 3, and Embeddings.
Advanced Generative AI : Embeddings, Vector DB, Fine-tuning, Zero-shot, One-shot and Few shot learning and RAG (Retrieval-augmented generation).
Real-world Project Implementation : Hands-on project integrating OpenAI models ( ChatGPT, Whisper, Embeddings). Uses RAG and embeddings are plotted in graph.
Generative AI Future : Will AI take away jobs - Addressing the common concern of job displacement by AI and New opportunities - Strategies for professionals
Google Gemini : Explore the power of Google Gemini and it's various models Ultra, Pro and Nano
Google Gemini: Image + text prompts, code generation, testing and debugging Platform with Replit integration
Github Copilot: Revolutionizing Code Development: Discover Github Copilot's revolutionary impact on code development, enhancing productivity and efficiency.
LangChain: Learn building LLM applications using LCEL(LangChain Expression Language) framework, RAG (Retrieval augmented generation), & building AI agents
OpenAI Sora - Text to Video Model: Master OpenAI Sora's architecture and diffusion models.
Will AI take away jobs or create more opportunities

You don’t have to buy 7-8 courses to learn – ChatGPT, Open AI APIs, Generative AI, LLM key concepts, Github Copilot, Langchain, Amazon Q Developer, Amazon Q Business,  Amazon Bedrock, Google Gemini, GCP Vertex AI and Open AI Sora Architecture !

Welcome to our Comprehensive Course which covers all of these topics and we keep adding new topics every month !!

Key Features:

– Artificial Intelligence Fundamentals: Build a solid foundation in AI, exploring key concepts and practical applications of Deep Learning and Generative AI.

– Boosting Productivity with Effective Prompt Engineering: Discover the secrets of ChatGPT through mastering prompt engineering. Optimize prompts for maximum productivity and creativity. Elevate your career with impressive resumes and interview preparations using ChatGPT’s capabilities.

– Exploring Alternatives and Diving into DALL-E: Delve into alternative models like Bard and Bing in chat-based AI. Compare DALL-E variants to understand their unique features.

– OpenAI Deep Dive: Navigate the OpenAI ecosystem confidently, exploring models, APIs, and integration with tools like Postman.

– Generative AI Internals: Dive deep into Generative AI internals, understanding its impact on industries.

– Jupyter Notebook and Practical Examples: Master Jupyter Lab for seamless interaction with OpenAI models through practical examples.

– Token Pricing, SQL Interaction, and Hands-on Programs: Understand token pricing and leverage generative models for natural language interactions with data.

– Advanced Generative AI: Explore advanced techniques like embeddings and fine-tuning for real-world scenarios.

– Github Copilot: Revolutionizing Code Development: Discover Github Copilot’s revolutionary impact on code development, enhancing productivity and efficiency.

– Real-World Project Implementation: Apply knowledge to hands-on projects integrating various OpenAI models.

– Google Gemini models: Learn the basics and applications of Google Gemini, comparing it with ChatGPT4.

– LangChain: Learn building LLM applications using LCEL(LangChain Expression Language) framework, RAG (Retrieval augmented generation), & building AI agents for complex tasks.

– OpenAI Sora – Text to Video Model: Master OpenAI Sora’s architecture and diffusion models.

– Generative AI Future: Address job displacement concerns and explore new opportunities in the ever-evolving landscape.

Join Us on this AI Adventure: Unlock Your Potential

Whether you’re aiming to enhance your career, optimize productivity, or explore AI’s frontiers, our course is your comprehensive guide. Shape the future of technology with confidence. Let’s unlock your potential together!

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Includes

14 hours on-demand video
1 article
Certificate of Completion