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From the latest research and developments in machine learning and natural language processing, to practical applications and the ethical considerations surrounding AI, this channel is your go-to source for all things related to this exciting field. Subscribe now to stay up-to-date on the cutting-edge of AI and join the conversation about the future of intelligence.

Welcome to my channel where I bring you my thoughts on AI, maximising the use of ChatGPT, the dynamic world of digital marketing, sales funnels, and testing new time saving software. I've always been passionate about demystifying these complex subjects and breaking them down for non-technical people. From beginner tips to advanced strategies, my videos aim to provide valuable content for everyone to use to grow their businesses. I'm the CEO of 2 SaaS platforms, https://FastFunnels.com and my newest addition, https://FastBots.ai. Feel free to subscribe to my channel and I look forward to hearing your views in the comments 🙌

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DevOps professionals are in high demand! According to a recent GitLab report, DevOps skills are expected to grow 122% over the next five years, making it one of the fastest growing skills in the workforce. This certificate will equip you with the key concepts and technical know-how to build your skills and knowledge of DevOps practices, tools and technologies and prepare you for an entry-level role in Software Engineering. The courses in this program will help you develop skill sets in a variety of DevOps philosophies and methodologies including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development, and Zero Downtime Deployments. You will learn to program with the Python language and Linux shell scripts, create projects in GitHub, containerize and orchestrate your applications using Docker, Kubernetes & OpenShift, compose applications with microservices, employ serverless technologies, perform continuous integration and delivery (CI/CD), develop testcases, ensure your code is secure, and monitor & troubleshoot your cloud deployments. Guided by experts at IBM, you will be prepared for success. Labs and projects in this certificate program are designed to equip job-ready hands-on skills that will help you launch a new career in a highly in-demand field. This professional certificate is suitable for both - those who have none or some programming experience, as well as those with and without college degrees. Applied Learning Project Throughout the courses in this Professional Certificate, you will develop a portfolio of projects to demonstrate your proficiency using various popular tools and technologies in DevOps and Cloud Native Software Engineering. You will: - Create applications using Python programming language, using different programming constructs and logic, including functions, REST APIs, and various Python libraries. - Develop Linux Shell Scripts using Bash and automate repetitive tasks - Create projects on GitHub and work with Git commands - Build and deploy applications composed of several microservices and deploy them to cloud using containerization tools (such as Docker, Kubernetes, and OpenShift); and serverless technologies - Employ various tools for automation, continuous integration (CI) and continuous deployment (CD) of software including Chef, Puppet, GitHub Actions, Tekton and Travis. - Secure and Monitor your applications and cloud deployments using tools like sysdig and Prometheus.

In this project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app. This project will help developers to implement OpenAI in their projects, using the AI model beyond ChatGPT, generating content or enriching data using an AI model. The prerequisites of this project include fundamental knowledge of programming principles, particularly Python and JSON fundamentals. In the course of the project you will create an OpenAI account and use API credits. Any new account will allow 5 US Dollars worth of free credit, which is more than enough to complete the project. PLEASE NOTE: if you already have an OpenAI account and are unable to avail of the free credit, you may incur costs for using OpenAI API.

87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification. Here's what you have to do 1) Complete the Preparing for Google Cloud Machine Learning Engineer Professional Certificate 2) Review other recommended resources for the Google Cloud Professional Machine Learning Engineer exam 3) Review the Professional Machine Learning Engineer exam guide 4) Complete Professional Machine Learning Engineer sample questions 5) Register for the Google Cloud certification exam (remotely or at a test center) Applied Learning Project This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules. Applied Learning Project This specialization incorporates hands-on labs using Google's Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner. This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA. Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field. You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry. It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers). Applied Learning Project You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.