Courses

Practical Execution Of Building Construction Step by Step from Construction Site What you'll learn: Construction Methodology , Sequence of Construction , Reading of Architectural And Structural DrawingsLearn construction of building step by step along with understanding Architectural and Structural drawings. In this Course We will Cover the Following topics to get an overview about building Construction 1- SEQUENCE OF BUILDING CONSTRUCTION FROM START TO FINISHING2. Types of Buildings Based on Usage - Residential - Commercial - Industrial3. Types of Structural System - Frame Building - Flat Slab - PEB - Mivan4. PCC Laying to De -shuttering of Footing on Construction Site5. Column Casting to Slab Reinforcement on Site6. Electrical Execution to Slab casting on Site - Learn the Insights !!7. Complete Interior Execution - Brickwork -Plastering - Painting Civil engineering is a STEM field focused on designing and constructing the environments in which humans live. Civil engineers typically focus on large construction projects such as buildings, roads, bridges, subway systems, dams, and water supply networks. Math, physics, and design are essential areas of knowledge for the field.Civil engineering is one of the larger engineering fields, and its many sub-specialties include architectural engineering, environmental engineering, and water resource engineering Civil engineering, the profession of designing and executing structural works that serve the general public, such as dams, bridges, aqueducts, canals, highways, power plants, sewerage systems, and other infrastructure. The term was first used in the 18th century to distinguish the newly recognized profession from military engineering, until then preeminent. From earliest times, however, engineers have engaged in peaceful activities, and many of the civil engineering works of ancient and medieval times—such as the Roman public baths, roads, bridges, and aqueducts; the Flemish canals; the Dutch sea defenses; the French Gothic cathedrals; and many other monuments—reveal a history of inventive genius and persistent experimentation..

Explore the inner strength required to repair broken pipelines and discover the ethos behind the Association of Black Engineers in this insightful talk by Professor Ollie Folayan. Drawing from personal experiences, Folayan delves into the importance and necessity of the organization, offering valuable perspectives on addressing common problems in engineering. Gain a deeper understanding of the challenges faced by Black engineers and the solutions being developed to overcome them in this hour-long presentation from Imperial College London.

Explore the process of building an LLM-powered Mega Autocompleter in this 21-minute tutorial video. Learn how to create a functional UI using React and Node.js, and discover techniques for implementing AI-driven autocompletion features. Follow along as the instructor guides you through project introduction, prompt setup, running prompts, building the application, iterating on the design, adding new features, and debugging. Gain insights into AI engineering and practical application development with large language models. By the end of the video, you'll have a comprehensive understanding of how to construct an AI-powered autocomplete tool with a user-friendly interface.

Discover strategies for leveraging peer relationships as a StaffPlus Engineer in this insightful conference talk from StaffPlus New York 2022. Learn how to build effective peer groups, foster mutual learning experiences, and enhance professional growth through collaborative interactions with fellow engineers. Explore techniques for sharing knowledge, gaining diverse perspectives, and creating a supportive network that can accelerate career development and problem-solving capabilities in the tech industry.

Explore the crucial role of platform engineers in building bridges between development, operations, and other enterprise sectors in this 29-minute keynote address from KubeCon + CloudNativeCon. Delve into the CNCF's Platform Engineering Maturity Model to understand the diverse responsibilities of successful platform engineers, ranging from product management and developer advocacy to support engineering and system administration. Gain insights into how platform engineers create vital connections within organizations, fostering collaboration and efficiency in cloud native computing environments.

Embark on a beginner-friendly journey into AI engineering with this comprehensive 36-minute tutorial. Develop practical skills by creating a chatbot that interacts with YouTube videos using OpenAI API, Flask, and Python. Follow along as the instructor guides you through the project outline, flowchart, backend development, and frontend implementation. Learn essential concepts such as API integration, backend logic, and user interface design. By the end of this hands-on tutorial, you'll have built a functional chat application that can engage with YouTube content, providing a solid foundation for your AI engineering career.

Prepare for the Google Cloud Professional Data Engineer certification exam’s section on building and operationalizing data processing systems.

Discover strategies for mentoring and leading staff+ engineers in this 14-minute conference talk from LeadDev West Coast 2023. Explore the unique challenges of managing highly experienced and knowledgeable engineers, and learn how to provide effective feedback, coaching, and direction. Uncover techniques for setting clear expectations, addressing common obstacles, and establishing career progression paths for staff+ engineers. Gain insights into improving communication between engineering managers and senior technical staff to create a highly efficient team. Understand the importance of mentoring these valuable team members and avoid potential pitfalls in leadership. Apply these lessons to harness the full potential of staff+ engineers and transform them into organizational powerhouses.

Building Information Modeling (BIM) has initiated a sea change in the way that engineers approach the design and construction of buildings. Autocad, and 2D-centric methods in general, have been pushed aside to make way for 3D-centric workflows and design processes rooted in parametric modeling, interoperability, visualization, Work-sharing, and automation that leverage the latest advancements in computing technology. Advanced 3D modeling programs (including Autodesk Revit and others), simulations, augmented reality, virtual reality, and other technologies have presented design professionals and project teams with new opportunities to maximize design the efficiency, functionality, and performance of buildings, to streamline and optimize design and construction operations, to study building lifecycles, and to help mitigate the impact of buildings on the environment. However, as the AEC industry rapidly evolves by adopting BIM workflows, the educational system has been slow to respond. There is an ever-widening gap between the traditional engineering curriculum and the skills that students need when they graduate. This course will fill that gap by not only broadly introducing students to Virtual Design and BIM, but will introduce students to Autodesk Revit with future courses developed specifically for Structural Engineers, MEP Engineers, Fire Protection Engineers, and Construction Engineers.

Build the skills needed to outsmart cyber threats. This Nanodegree teaches you how to secure infrastructure, assess vulnerabilities, and apply top industry practices to protect your organization from digital attacks.

The Empathetic Engineer is a course that will enhance your capacity to harness your technology and problem-solving skills to deliver high impact, innovative solutions that address compelling social and environmental needs. It is a course that puts people, planet and nature at its core, enabling you to generate new levels of value for the markets or communities you serve, without compromising our world today or in the future. There has never been a more exciting time for engineers to make an impact at scale. We have a perfect storm of need and technological capability. We have the immense challenge of climate change, alongside a desperate need to create a more sustainable and equitable model of consumption and production. But we are also at the top of a wave of innovation, the likes of which have not been seen for around 120 years, where many distinct areas of technological progress are transforming our capacity to address the immense challenges we face. The challenges we face are systemic and our responses must be, too. Week by week, the course will take you through the 6 phases of the process we use, from first scoping a challenge you want to focus upon, researching it, drawing on those insights to generate a clear set of goals and ambitions, igniting your creative capacity to develop novel and exciting concepts, selecting, testing and refining them along with the business model before implementing an innovative solution, that addresses a compelling need. At the end of the course, you should be able to: Demonstrate theoretical and practical understanding of the different stages of the empathetic engineering approach in the context of engineering design projects. Analyse the socio-cultural, environmental, and economic factors that need to be considered in the given context. Apply the principles, methods and tools to an engineering design project to deliver more effective and measurable outcomes. Optionally, develop a project proposal that spans technological, socio-cultural, environmental and economic systems, including how the proposal creates and captures value for each of the relevant stakeholders. That is our goal, and we look forward to going on this journey together.

As AI continues to reshape industries, demand is rising for professionals who can develop intelligent solutions that integrate seamlessly into cloud-based platforms. The AI Engineer program, developed by Microsoft and hosted on edX, equips learners with the technical knowledge and practical skills to build and deploy AI solutions using Azure AI services. Across three in-depth courses, you’ll begin with an introduction to Azure’s AI capabilities and progress to more advanced applications, including natural language processing, computer vision, and knowledge mining. You’ll also learn how to use services such as Azure OpenAI, Cognitive Services, and Azure Machine Learning to build enterprise-grade AI solutions. This program is ideal for software developers, cloud engineers, and data professionals looking to deepen their expertise in cloud-based AI. With hands-on labs, real-world use cases, and a focus on responsible AI design, this program sets you up for success in AI engineering roles and serves as a strong foundation for Azure AI certification paths.

The Data Engineer program prepares you for one of the most in-demand roles in modern data infrastructure. Developed by Microsoft, this comprehensive program teaches you how to design, implement, and manage data solutions in the cloud using Azure Synapse Analytics, Apache Spark, and Azure Stream Analytics. You’ll gain hands-on experience building serverless SQL queries, performing large-scale data transformations, integrating hybrid transactional and analytical processing (HTAP), and implementing real-time streaming solutions. Whether you're transitioning into data engineering or looking to deepen your expertise in Azure's data ecosystem, this program provides the technical foundation and practical skills to support enterprise-grade data solutions.

This program focuses on demonstrating your ability to build functional and effective applications, showcasing your skills and knowledge throughout the application development process. Emphasis is placed on practically applying learned concepts to real-world scenarios, validating your competence in app development. You will gain a comprehensive understanding of securing core cloud infrastructure across network, compute, storage, and database components. Learn fundamental network security principles, including implementing controls, managing traffic, deploying firewalls, configuring secure virtual networks, and using segmentation to protect resources. Explore tools and services to monitor and defend against threats, enabling you to design and maintain a secure network architecture. Additionally, you will delve into securing virtual machines, data at rest and in transit, and databases using best practices such as access control, encryption, and threat mitigation. Acquire the knowledge and hands-on skills necessary to manage and enhance an organization's security operations. This course covers key principles like risk assessment, incident response, and the strategic use of security technologies. You will learn how to monitor security events, analyze threats, and ensure compliance with industry standards. With a strong focus on real-world application, this course provides a solid foundation for effectively leading or supporting security operations.

Learn how to transition into AI engineering by building reliable, high-impact AI features through proven tools, patterns, and team practices that enable truly transformative AI integration in this 26-minute conference talk from LDX3 London 2025.

Join a comprehensive 3-hour workshop led by industry experts Stefan Krawczyk (DAGWorks CEO) and Hugo Bowne-Anderson (Independent Data Scientist) to master the fundamentals of building generative AI-powered applications. Learn essential skills through first principles thinking, covering prompt engineering, monitoring, evaluations, and handling non-determinism in AI systems. Explore practical applications like PDF querying while gaining insights into engineering challenges specific to AI development. Through hands-on sessions, discover how to generate and refine emails using Language Models (LMs), implement human-in-the-loop workflows, and extract structured data from PDFs. Master crucial production aspects including observability, tracing, error handling, and Retrieval Augmented Generation (RAG) components. Dive into prompt optimization, synthetic data testing, and scaling considerations for production environments. Perfect for software engineers, data scientists, and AI practitioners looking to develop production-ready AI applications with a focus on lifecycle management, iterative development, and monitoring systems.

Master the Art of Sales and Technology to Drive Business Success as a Sales Engineer and Solutions Engineer What you'll learn: Feel confident preparing for a discovery call & sales demoUnderstand the sales process and how to master itReview basic technical concepts to understand industry trendsMaster interview responses to land your first technical sales positionDevelop a successful resume and Linkedin profile to improve your chance of an interviewShadow real interview responses and live demos of sales engineering The Sales Engineer and Solutions Engineer: Sales & Tech Training course is designed to equip individuals with the necessary knowledge and skills to become successful sales engineers in the technology industry. This comprehensive course covers a wide range of topics, including sales, engineering, and technical skills, to prepare learners for the diverse responsibilities of a sales engineer.Through this course, you will gain an understanding of the role of a sales engineer and the importance of effective communication, problem-solving, and technical expertise in the field. You will also learn about the sales process and how to leverage technical knowledge to identify customer needs and develop effective solutions.In addition, this course provides an overview of various technologies, including cloud computing, APIs, and cybersecurity, and how they can be used to meet customer needs. Throughout the course, you will have access to practical exercises that will enable you to apply the concepts you have learned to real-world scenarios. By the end of this course, you will have developed the skills and knowledge required to become a successful sales engineer and solutions engineer in the technology industry.So, if you are interested in pursuing a career as a sales engineer, this Sales Engineer and Solutions Engineer: Sales & Tech Training course is the perfect starting point for you. Enroll now and take the first step toward a rewarding career in the tech industry!

Explore the intersection of AI and cloud-native platforms in this insightful conference talk. Learn how to adapt your platform for AI applications while maintaining a smooth developer experience. Discover the capabilities of polyglot LLM-powered cloud native apps, including prompt engineering, LangChain4j AI Services, and integration of external knowledge. Gain insights into building AI golden paths using Backstage, Buildpacks, and Crossplane to streamline integrations and model provisioning. Delve into implementing production-grade capabilities for scaling and LLM observability with Knative and OpenTelemetry. Follow along as the speakers construct an AI-ready platform and implement a composer AI assistant, culminating in a live AI-assisted music composition for a chosen movie scene.

Learn to build and iterate on generative AI-powered applications through this comprehensive workshop that bridges software engineering and AI development. Explore the complete AI software development lifecycle using first principles thinking, covering essential components like prompt engineering, monitoring, evaluations, and handling non-determinism in AI systems. Master techniques for integrating AI models and APIs into practical applications while managing the unique engineering challenges of AI-powered systems. Discover how to use multimodal AI models to build applications such as PDF-querying tools, with all techniques being generalizable for various generative AI applications. Gain hands-on experience in monitoring, logging, and evaluating AI systems to ensure reliability, while learning to handle structured outputs and implement function calling in AI models. Understand the critical software engineering aspects of AI applications including lifecycle management, iterative development, debugging, and performance monitoring for production-level systems. Build practical skills using vanilla Python and direct LLM calls rather than relying solely on frameworks, emphasizing fundamental understanding over tool-specific knowledge. Suitable for software engineers, data scientists, machine learning practitioners, and AI enthusiasts with basic Python programming knowledge and familiarity with REST APIs, though no prior AI or machine learning experience is required.

The primary currency for career growth is the network of people who know who you are, what you do, and what you stand for. With the tools available to all of us, **building credibility and influence has never been easier**. Platforms like YouTube, Twitter, LinkedIn, Medium, and Substack contain countless examples of engineers who are achieving incredible success because of their ability to connect with an audience. Once you have influence, it becomes significantly easier to expand your network, build distribution channels, and grow a business. This course is focused on how YOU can become an engineer influencer. We cover 10+ case studies of other engineer influencers and how to apply their strategies to grow and monetize your own brand. An *engineer influencer* is an engineer who builds an audience on social media and uses that to kickstart their future startup or business. Examples include: - [Rahul Pandey](https://www.youtube.com/c/RahulPandeyrkp) - ex-Meta engineer, who leveraged his 60k followers on YouTube to launch Taro, a career-mentoring app that got into YCombinator - [Gergely Orosz](https://twitter.com/GergelyOrosz) - ex-Uber engineering manager, who used his Twitter following to grow his paid newsletter "The Pragmatic Engineer" to 140k readers in 18 months - [Daniel Vassallo](https://twitter.com/dvassallo) - ex-Amazon engineer, who grew his following to 130k followers on Twitter and now teaches a highly successful cohort based class called "Portfolio of Small Bets" Each of these engineer influencers focused on building their social media following first. ### **Is this course for me?** If you're a 1) W-2 employee in tech and 2) interested in diversifying your income streams, then yes! ### **What if I'm not an engineer?** That's OK! You can apply the principles I teach to any field. I also discuss a number of designers, PMs, and engineering-adjacent folks as examples as well. ### **How is this course specific to engineers?** First, I strive to use other engineers as examples wherever I can in this course. Second, this course addresses entrepreneurial mistakes that engineers are most likely to make. This includes: - focusing too much on product building rather than channel building - feeling intimidated about self-promotion - not knowing how to make sales - thinking they don't have the authority to speak on engineering - always aiming for a VC-scale unicorn