Overview of RAG, AI Agents and Generative AI with Python and OpenAI 2025 Course on Udemy
Unlock the power of cutting-edge AI with the RAG, AI Agents and Generative AI with Python and OpenAI 2025 course on Udemy. Led by Diogo Alves de Resende, a data analytics expert, this course dives deep into Retrieval-Augmented Generation (RAG), AI agents, and Generative AI using Python and OpenAI’s API. With an impressive 37 hours of on-demand video, 31 coding exercises, and 21 articles, it’s a comprehensive journey for building real-world AI solutions. Enroll today with coupon APRIL25-SOCIAL (valid until April 30, 2025—check the offer box below for the discount link!)
What to Expect from the RAG, AI Agents and Generative AI with Python and OpenAI 2025 Course
This 37-hour course delivers an immersive, hands-on experience for data scientists, developers, and AI enthusiasts with basic Python skills. Diogo’s teaching combines clear explanations with practical projects, guiding you through complex concepts like RAG and AI agent development. Aimed at beginners and intermediates, it features step-by-step coding, real-world case studies (like analyzing financial data), and 31 coding exercises to sharpen your skills. Hosted on Udemy, it offers lifetime access for flexible learning on any device—laptop, tablet, or phone.
What You Will Learn in RAG, AI Agents and Generative AI with Python and OpenAI 2025
- Build Retrieval-Augmented Generation (RAG) systems using Python and OpenAI.
- Develop AI agents with state management and memory using OpenAI Swarm.
- Master Generative AI models like OpenAI GPTs for text generation.
- Leverage FAISS and LangChain for efficient retrieval systems.
- Integrate multimodal RAG with text, audio, and images using Whisper and CLIP.
- Create real-world AI projects, including a capstone analyzing financial data.
Why Choose This RAG, AI Agents and Generative AI with Python and OpenAI 2025 Course on Udemy
Diogo Alves de Resende’s real-world experience—from e-commerce analytics to UN projects—sets this course apart. Updated for 2025, it covers the latest in RAG, AI agents, and Generative AI, ensuring you learn skills that employers demand. The massive 37 hours of video, 31 coding exercises, and 21 articles make it a powerhouse for learning, while projects like building a digital waiter bot offer practical value. Use APRIL25-SOCIAL to snag it at a discount (see offer box)
Recommended Courses with Generative AI and RAG Focus
Looking to expand your skills? Check out these related courses:
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- Generative AI with LangChain and Huggingface – Build AI apps with advanced RAG pipelines.
- AI Agents with Python and TensorFlow – Focus on multi-agent systems for automation.
- OpenAI API for Beginners – Master OpenAI’s tools for text and image generation.
Our Review of RAG, AI Agents and Generative AI with Python and OpenAI 2025 Course
As website admins, we’re blown away by this course’s depth and practicality. Diogo structures lessons clearly, making topics like multimodal RAG and AI agents accessible through engaging examples—think building a financial analysis bot. The 31 coding exercises are a game-changer, letting you practice real-world scenarios, while 21 articles provide deep insights. The capstone project analyzing Starbucks data is a highlight, bridging theory and application. It’s a top-tier course, though it assumes some Python basics.
Pros:
- Comprehensive 37-hour curriculum with 2025’s latest AI trends.
- Hands-on projects and 31 coding exercises ensure practical skills.
- Diogo’s industry expertise adds credibility and relevance.
Cons:
- Requires basic Python knowledge, which may need a refresher.
- Lengthy duration might feel intense for casual learners.
With APRIL25-SOCIAL, it’s a steal!
Rating the RAG, AI Agents and Generative AI with Python and OpenAI 2025 Course
Overall Rating: 9.6/10
- Content: 9.6/10 – Packed with RAG, AI agents, and Generative AI for real-world use.
- Delivery: 9.6/10 – Engaging and clear, with minor pacing challenges for beginners.
- Value: 9.6/10 – Affordable with APRIL25-SOCIAL.
Transform your career with AI mastery—enroll now and build the future