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    Mohammed Fahim | Generative AI
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    Reseña del curso Generative AI to AI Agent Masterclass for Software Engineers de Mohammed Fahim | Generative AI

    Opiniones de la comunidad

    AWS focused Master ChatGPT, AWS Gen AI, Bedrock, AI agents and Generative AI: Hands-on training. Basics to advanced

    Formato de aprendizaje Online Course
    Subcategoría ChatGPT

    Precio del curso $19.99 (list $9.99)

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    ¿El curso de Mohammed Fahim | Generative AI es legítimo?

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    Sobre Mohammed Fahim | Generative AI

    AWS focused Master ChatGPT, AWS Gen AI, Bedrock, AI agents and Generative AI: Hands-on training. Basics to advanced

    ¿Quién es Mohammed Fahim | Generative AI?

    No hay biografía disponible.

    Sector

    AI

    Total de estudiantes

    4,314 students

    Sitio web oficial

    —

    Experiencia

    Idioma del curso

    English

    Redes sociales

    Ubicado en

    ¿Qué se aprende en el curso de Mohammed Fahim | Generative AI?

    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

    ¿Qué incluye este curso?

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