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via Udemy |
Go to Course: https://www.udemy.com/course/generative-ai-for-beginners-learning-with-demos/
Certainly! Here's a comprehensive review and recommendation for the Coursera course on Generative AI: --- ### Course Review: Unlock the Power of Artificial Intelligence with Generative AI This Coursera course offers an extensive journey into the rapidly evolving world of artificial intelligence, with a keen focus on Generative AI and its practical applications. Designed for both beginners and experienced professionals, the course provides a solid foundation in AI concepts, complemented by hands-on experience with leading tools like OpenAI and Azure OpenAI. #### Course Content and Structure The course is well-structured into multiple modules, each building upon the previous to deepen your understanding: - **Foundations of AI, Machine Learning, and Deep Learning:** Starting with core principles, learners are introduced to various AI workloads, key ML algorithms, and neural network architectures. Interactive demos, such as training models with the IRIS dataset and creating deepfake videos, make these concepts accessible. - **Generative AI:** The module delves into what sets Generative AI apart from predictive AI, exploring large language models like GPT-3 and GPT-4, embeddings, and prompt engineering. This section is particularly valuable given the current surge in LLM applications. - **AI Infrastructure:** The course covers essential infrastructure topics, including GPU vs CPU performance and high-performance computing, equipping learners with the knowledge to optimize AI workloads. - **Hands-On with OpenAI:** Comprehensive exploration of ChatGPT, API integrations, image generation with DALL·E, and speech-to-text capabilities provide practical skills for deploying AI solutions. - **Azure OpenAI & Fine-Tuning:** The course offers a detailed guide to Azure’s AI platform, including model management, fine-tuning, content filtering, and security practices—key topics for deploying scalable AI applications. - **Advanced Topics:** Features like Retrieval-Augmented Generation (RAG) with Azure AI Search and role-based access control (RBAC) prepare learners for real-world enterprise use. #### Benefits - **Practical Learning:** Multiple demos and projects ensure that learners can apply theoretical knowledge to build real AI applications. - **Expertise in Tools:** Focused tutorials on OpenAI API, Azure OpenAI Studio, and model fine-tuning are invaluable for those looking to specialize. - **Comprehensive Coverage:** From foundational concepts to advanced deployment and infrastructure topics, the course provides a holistic view of current AI technologies. --- ### Recommendation This course is highly recommended for a broad audience that includes aspiring AI and ML practitioners, data scientists, developers, and professionals interested in understanding and leveraging AI tools like OpenAI and Azure OpenAI. **Why choose this course?** - It balances foundational knowledge with advanced practical skills. - Its modular design allows learners to delve deep into specific areas of interest. - The inclusion of demos and hands-on labs offers invaluable experiential learning. - Perfect for those aiming to deploy AI at scale or integrate AI capabilities into existing applications. If you're eager to harness the power of Generative AI and want a course that not only educates but also equips you with actionable skills, this Coursera course is an excellent investment in your AI journey. --- Would you like a shorter summary or additional insights on specific modules?
Generative AI refers to a type of artificial intelligence technology that can generate new content based on the data it has been trained on. This includes text, images, music, video, and other forms of media. The AI learns from a large dataset to recognize patterns, styles, or features and then uses this understanding to create new, original content that mimics the input it has studied.The course will present you with a foundational understanding of AI. The course has several modules where you will be explained basic concepts around AI, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs) , ChatGPT , Azure Open AICourse Description:Unlock the power of Artificial Intelligence with this comprehensive course designed to take you from foundational concepts to advanced applications. Whether you are a beginner or an experienced professional, this course will guide you through the intricacies of AI, Machine Learning, Deep Learning, and Generative AI. You'll also gain hands-on experience with OpenAI, Azure OpenAI, and fine-tuning models. Perfect for developers, data scientists, and AI enthusiasts.What You Will Learn:1. AI Concepts & WorkloadsWhat is AI?Benefits of Artificial Intelligence (AI)Types of AI WorkloadsAI vs ML vs DLQuiz: AI Concepts2. Machine LearningReal-World Examples of Machine LearningKey Terminologies in Machine LearningWhat is Machine Learning?Types of Machine LearningSupervised Machine Learning: Classification and RegressionUnsupervised Machine LearningReinforcement LearningIntroduction to Jupyter NotebookDemos:Understanding the IRIS DatasetCreating & Training Your ML Model3. Deep LearningWhat is Deep Learning?Understanding Neural NetworksDeep Learning Models and Transformer ModelsDemos:GANs and Deep Fake Video CreationCreating & Training Deep Learning Models4. Generative AIWhat is Generative AI?Predictive AI vs Generative AIOverview of GPT, GPT-3, and GPT-4Large Language Models (LLM)Embeddings and Vector DatabasesIntroduction to Prompt Engineering5. AI InfrastructureUnderstanding GPUs vs CPUsWhat is High-Performance Computing?RDMA Cluster NetworksDemo: CPU vs GPU Performance6. OpenAIWhat is OpenAI?Understanding ChatGPTDemos:ChatGPT Overview and Reaching 100M UsersChatGPT Models: GPT-3 vs GPT-4Tokens and Pricing ModelsMaking API Calls with OpenAI APIsCreating EmbeddingsImage Generation using DALL·E APISpeech to Text Conversion7. Azure OpenAIOverview of Azure OpenAI and Its HistoryModels, Limits, and Quotas in Azure OpenAIPricing and the Azure OpenAI StudioPlaygrounds:Chat PlaygroundCompletions PlaygroundCreating Images using DALL-E8. Bring Your Own Data - RAG with Azure AI SearchWhat is Azure AI Search?How Vector Search Works with Azure AI SearchDemos:Pre-requisites for RAG with Azure AI SearchCreating a Storage Account and Embedding DeploymentSetting Up Azure AI Search ResourceUploading Documents and Performing Queries with Your Data9. Azure OpenAI Fine TuningWhat is Fine Tuning?Regions & Models for Fine TuningDemos:Creating Azure OpenAI ServicePreparing & Uploading DataCreating and Evaluating Fine Tuning JobsDeploying and Querying the Fine Tuned Model10. Azure OpenAI Content FilteringWhat is Content Filtering?Categories Covered and Prompt ShieldDemo: Impact of Content Filtering11. Azure OpenAI Identity & Access ManagementWhat is Azure RBAC Model ?RBAC for Azure OpenAIDemos: Perform Role Assignment based on Cognitive Roles12. Azure OpenAI Assistants APIWhat is Assistants API?Assistants API Components / Key TermsArchitectureDemo:Python Code for a Maths Tutor using Assistants APIWhat is a Code Interpreter ?Demo:Analysing the CodeMaking Code FixesWorking on Failed Banks and creating GraphsWhat is Function Calling ?Target Audience:Aspiring AI and ML practitionersData Scientists looking to enhance their skillsDevelopers interested in AI-driven applicationsProfessionals seeking knowledge in OpenAI and Azure AI tools