https://www.coursera.org/specializations/generative-ai-for-data-scientists

Generative AI knowledge is now an essential data science skill. According to Gartner, "By 2026, 20% of top data science teams will have rebranded as Cognitive Science or Science consultancies, increasing diversity in staff skills by 800%."  With the industry trends in mind, IBM brings you this specialization to help boost your career! This three-course specialization is designed to help you kickstart your journey into applying generative AI in the field of data science. This includes existing and aspiring data professionals, such as data scientists, data analysts, data architects, and engineers, and even data enthusiasts.  You will begin the specialization by understanding the basics of generative AI and its real-world applications. Then, learn about generative AI prompts engineering concepts and approaches, and explore commonly used prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust. Finally, delve into applying generative AI tools and techniques throughout the data science methodology for data augmentation, data generation, feature engineering, model development, model refinement, visualizations, and insights. Give your data science techniques a boost with generative AI! Enroll now and gain the skills that show your current employer and others, that you’re ready to effectively harness the power of generative AI.

https://www.coursera.org/specializations/generative-ai-for-software-developers

With generative AI, a new technology era has begun. Software developers can leverage this revolutionary technology to write high-quality code with fewer bugs, which will increase their overall effectiveness and efficiency and. This is making generative AI an essential and must-have skill for software engineers.   This IBM specialization offering is designed for anyone interested in leveraging the power of generative AI in software development. This includes existing and aspiring web developers, mobile app developers, front-end developers, backend-end developers, full stack developers, DevOps professionals, and Site Reliability Engineers (SREs).   With three self-paced courses in the specialization, you will begin with the basics of generative AI including its uses, models, and tools for text, code, image, audio, and video generation. Advance to prompts engineering, explore various prompt engineering approaches and prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust.

https://www.udemy.com/course/prompt-engineering-with-chatgpt/

https://www.udemy.com/course/chatgpt-course-for-beginners/

https://certificates.blackhat.com/group/159088

This is a hand-on practical concentrated course on securing and attacking web and cloud APIs. APIs are everywhere nowadays: In web apps, embedded systems, enterprise apps, cloud environments and even IoT, and it is becoming increasingly necessary to learn how to defend, secure and attack API implementation and infrastructure.  This training aims to engage you in creating secure modern APIs, while showing you both new and old attack vectors.

https://www.blackhat.com/us-22/training/schedule/index.html#adversary-emulation--purple-teaming-25772

 

In this four-day course, the attendees will walk through the Purple Team Exercise Framework, learning each role that plays a part in purple team engagements. Students will learn to collect Cyber Threat Intelligence (CTI), develop and conduct Adversary Emulation plans based on gathered intelligence, then dive into detection engineering to identify and resolve missed detection opportunities. Each day is a dive into one of the roles, and the course will conclude with a capstone that puts it all together in a purple team engagement. This intermediate-level course aims to broaden the students' understanding of purple team engagements' different roles and responsibilities and is geared towards red teamers, blue teamers, intelligence analysts, and managers looking to expand their purple team capabilities.

https://www.udemy.com/course/wordpress-security-secrets/

 

https://www.udemy.com/course/chatgpt-plugins-enable-more-power-to-your-chatgpt/

https://www.skillshare.com/en/classes/Build-and-Publish-Your-Own-Custom-GPT-to-the-GPTs-Store-A-Beginners-Guide-to-Creating-AI-Bots/7009883

Class Overview: Embark on a journey to create your very own GPT and publishing it to the GPTs Store, focusing on a YouTube title and thumbnail generator. This class provides a comprehensive guide to understanding and building custom GPTs. Whether you're aiming to follow the course project or design your own GPT application, this course has got you covered.

https://www.udemy.com/course/flutter-ios-android-mobile-snake-game-development-course/

 

https://www.udemy.com/course/openai-assistants-openai-python-api/

https://www.udemy.com/course/automating-excel-with-python/

https://www.linkedin.com/learning/introduction-to-ai-orchestration-with-langchain-and-llamaindex

Are you ready to dive into the world of AI applications? This course was designed for you. AI orchestration frameworks let you step back from the details of artificial intelligence tools and APIs and instead focus on building more general, effective systems that solve real-world problems. Join instructor M.Joel Dubinko as he explores the business benefits of AI orchestration—faster development, smarter interfaces, lower costs, and more. This course provides an overview of AI fundamentals and key capabilities, like accessing external tools and databases, with a special focus on exploring local models running on your own hardware, alongside or instead of cloud services like those from OpenAI. Every step of the way, Joel offers hands-on demonstrations of two industry-leading frameworks: LangChain and LlamaIndex. By the end of this course, you’ll be prepared to start building chatbots, intelligent agents, and other useful tools, while monitoring for errors and troubleshooting as you go.

https://www.linkedin.com/learning/introduction-to-google-gemini

  Google Gemini is a new family of multimodal large language models that works seamlessly across image, video, audio, and code. In this course, instructor Lynn Langit shows you how to get started using the design patterns, tools, and features of Google Gemini following the best practices for building LLM-based applications.  Explore the capabilities of Google Gemini starting with Google AI Studio, before diving into the development, testing, and deployment of even larger, more complex models. Along the way, Lynn shows you how to use Gemini notebooks in GCP Vertex AI Studio and Gemini applications on GCP. Upon completing this course, you’ll be ready to take your career to the next level as an ML-savvy DevOps professional.

AI has shifted swiftly from the realm of science fiction to everyday use. But of the multitude of tools and technologies now available, which ones are best suited to your workflows and organization? In this ongoing series, industry experts guide you through the AI products and concepts that are out there—and how to identify what is most likely to benefit your organization.

Udemy - Learn SQL for Data Analysis : Solving Real World Problems

Language:

In this SQL course, you’ll learn how to work with data as a data analyst using different SQL commands

https://www.udemy.com/course/learn-sql-for-data-analysis-solving-real-world-problems/

https://www.linkedin.com/learning/azure-openai-in-dot-net-23362861

https://www.linkedin.com/learning/ai-driven-project-management-techniques-and-insights-with-ricardo-vargas

https://www.linkedin.com/learning/gpt-4-turbo-the-new-gpt-model-and-what-you-need-to-know

https://www.udemy.com/course/perplexity-ai-masterclass-for-research-writing-with-generative-ai/

 

https://www.udemy.com/course/chatgpt-accelerated-python/

https://www.linkedin.com/learning/windows-11-for-it-support-intermediate-troubleshooting