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Unlock the full potential of OpenAI's ChatGPT with our comprehensive online course, specifically designed to help you excel in prompt engineering techniques. Explore the fascinating world of Chat GPT and learn how to craft engaging and effective prompts that ensure optimal AI performance.Our expert-led course will guide you through the nuances of tailoring prompts to different user types and various applications of ChatGPT, from content creation and learning to business solutions. Dive deep into the inner workings of Chat GPT and gain valuable insights into its thought processes, enabling you to create conversational flows that feel natural, seamless, and human-like.With a strong focus on practical, hands-on examples, this course ensures that you gain real-world experience and develop the skills needed to harness the power of OpenAI's ChatGPT in diverse scenarios. Master prompt engineering and learn tips, tricks, and techniques for overcoming limitations and maximizing the potential of this AI-powered language model.Throughout the course, you'll not only gain a deeper understanding of ChatGPT but also learn how to effectively analyze prompt performance and use data to refine and optimize your interactions with the AI. By leveraging cognitive biases and persuasion techniques, you'll be able to shape Chat GPT's output to achieve desired outcomes.Don't miss out on this opportunity to stay ahead in the rapidly evolving world of AI-driven communication.Why take this course?This course focuses a lot on the prompt structure and it teaches you how to manipulate the prompts so you get the best output possibleYou will find practical examples within each lesson since I show you examples as I explain the science behind prompt structureUnlike most courses that show you how you can use chatgpt for this and that, I teach you how to use chatgpt. The lessons gained in this course will be valuabl

This small course is the beginning for network engineers to start focus in python for network devices to automate backup or configuration and manage network devices . Many engineers are using python to do the daily health check and backup on their network , plot graphs for interfaces rate and bandwidth , check BGP state every 15 minutes , check interface physical alarms , check network devices flap , automate compress backup files to send attached email via outlook . After finish this videos you will able to do the basic script for check the healthy of the network and taking backup schedule daily to avoid any network issue can be occurred - Learn about python console , libraries and Pycharm simulator - Learn about python basics for network engineers and how to write the first script and apply it in live network environment - Learn how to get backup from Cisco and Fortinet devices using network connection libraries in python script- Learn about how to use network connection libraries such as paramiko , netmiko (connect handler) and date time - Learn how to automate send email using outlook- Learn how to schedule run the script by importing schedule library - Learn about move , create folders , compress all files and delete files with send2trash library

This course created by experienced piping stress analysis specialists covers all features of onshore above ground and underground piping and pipeline analysis. The course is based on PASS/START-PROF software applying, though it will be valuable for users of any other pipe stress analysis tools like CAESAR II as it contains a lot of theoretical information.Who should attend: process, piping and mechanical engineers specialized in design and piping stress analysis for the specified industries:Oil Gas (Offshore/Onshore)Chemical PetrochemicalPower (Nuclear/ Non-Nuclear)District Heating/CoolingWater treatmentMetal industryTraining software: all trainees are provided with a free 30-days PASS/START-PROF license.Certificate: After finishing the course you will receive the certificate from udemy and also certificate from PASS.PASS/START-PROF provides comprehensive pipe stress analysis with related sizing calculations according to international and national codes and standards. First introduced in 1965, PASS/START-PROF combines a highly efficient solver, powerful analysis features, very friendly and easy user GUI, an intuitive 3D graphical pre/post-processor, and a detailed help system with embedded intelligence from generations of piping design experts.Course consists of pre-recorded video lectures, quizzes, examples and handout materials. Section 1. Working with PASS/START-PROF User Interface 339 minSection 2. Piping Supports 138 minSection 3. Stress Analysis Theory and Results Evaluation 237 minSection 4. Underground Pipe Modeling 249 minSection 5. Static and Rotating Equipment Modeling and Evaluation 244 minSection 6. Expansion

Course DescriptionIf you're preparing for the AWS Certified AI Practitioner (AIF-C01) exam, this course is built for one goal: to help you pass the certification with confidence.This isn’t just another video lecture series. It’s a practice test masterclass—focused, exam-aligned, and designed for anyone stepping into the AI/ML space wanting to assess and sharpen their readiness.Why this course?The AWS AIF-C01 certification validates foundational but in-demand knowledge of AI, ML, generative AI, responsible AI, and AWS AI/ML services. Roles like business analysts, project managers, and product professionals will benefit—not just by answering questions but by aligning AI knowledge with real-world AWS use cases Amazon Web Services, Inc..This course gives you multiple full-length practice exams (aligned to the latest AIF-C01 blueprint), structured to:Replicate the real exam experience (question types, timing, difficulty)Cover all five exam domains thoroughlyFocus on practical reasoning—not just definitionsEach question is crafted to test not just what AWS expects but how to think like a certified AI practitioner.What You’ll Get InsideFull-Length Practice Exams: Multiple AIF-C01 tests mirroring the actual format350+ High-Quality Questions: Scenario-based, exam-focused, real-world relevanceDetailed Answer Explanations: See why answers are right—and why others are trapsPerformance Analytics: Track your scores, pinpoint weak domains, refine strategyWhat Topics Are Covered?Aligned with the 2025 AIF-C01 exam guide, topics include:Fundamentals of AI ML, Generative AI, Foundation Models, Responsible AI, Security Governance AWS StaticTutorials DojoNew question formats—ordering, matching, case

The course is designed with the absolute beginner in mind. At the end of this course, the student will have the following skills and knowledge in:Why docker is revolutionizing the IT industryBuilding containers from imagesCreating, pulling and pushing images to docker hub repositoryUnderstand how containers provide the developer with saving time and resourcesWrite Docker file from scratch and create custom imagesGet an introduction on how to save data to volumesBuild a simple networkCreate multiple nodes for swarm for high availability solutions

In this course, we will be creating a data lake using Google Cloud Storage and bring data warehouse capabilites to the data lake to form the lakehouse architecture using Google BigQuery. We will be building four no code data pipelines using services such as DataStream, Dataflow, DataPrep, Pub/Sub, Data Fusion, Cloud Storage, BigQuery etc.The course will follow a logical progression of a real world project implementation with hands on experience of setting up a data lake, creating data pipelines for ingestion and transforming your data in preparation for analytics and reporting.Chapter 1 We will setup a project in Google CloudIntroduction to Google Cloud StorageIntroduction to Google BigQueryChapter 2 - Data Pipeline 1We will create a cloud SQL database and populate with data before we start performing complex ETL jobs.Use DataStream Change Data Capture for streaming data from our Cloud SQL Database into our Data lake built with Cloud StorageAdd a pub/sub notification to our bucketCreate a Dataflow Pipeline for streaming jobs into BigQueryChapter 3 - Data Pipeline 2Introduce Google Data FusionAuthor and monitor ETL jobs for tranforming our data and moving them between different zone of our data lakeWe will explore the use of Wrangler in Data Fusion for profiling and understanding our data before we starting performing complex ETL jobs.Clean and normalise dataDiscover and govern data using metadata in Data FusionChapter 4 - Data Pipeline 3Introduction to Google Pub/SubBuilding a .Net application for publishing data to a Pub/Sub topicBuilding a realtime data pipeline for streaming mes