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7 Seconds to Yes: Tech Resume

Abay Assenov

5(61 students)

Self-paced

All Levels

About this course

This course contains the use of artificial intelligence. You have the experience. You are applying to the right roles.

But the recruiter calls are not coming. The problem is almost never your qualifications. It is your resume.

A hiring manager spends around 7 seconds on a resume during the first scan. In those few seconds they decide: Yes, Maybe, or No. Most resumes land in the No pile before anyone reads a single bullet point — not because the candidate was underqualified, but because the resume failed to communicate what was actually there.

This course fixes that. Most resume advice focuses on the wrong things: templates, buzzwords, colors, and page length. This course focuses on what actually matters: understanding how the hiring pipeline works from the inside, and building a resume that performs well inside that system.

You will learn what recruiters see during the first scan, how ATS systems actually affect applications, what hiring managers look for, and why some resumes consistently move candidates forward while others get ignored. You will learn how to:structure a software engineering resume clearly and professionallywrite accomplishment-based bullet points with metrics and measurable impactcommunicate ownership, progression, and technical depthtailor resumes for specific engineering positionsavoid the most common resume mistakesoptimize LinkedIn for recruiter search and Boolean matchingunderstand how referrals influence hiring outcomesposition yourself effectively for software engineering careers in the AI eraThe course includes:11 structured modulesdownloadable exercises and resume workbooksannotated before-and-after resume exampleshiring pipeline breakdownsrecruiter-focused resume strategiesLinkedIn optimization guidanceresume improvement frameworks for every experience levelThis course is designed for:software engineersbackend, frontend, and full-stack developersmachine learning engineersDevOps engineersQA engineersengineering managers and tech leadsstudents and bootcamp graduatescareer changers transitioning into techBy the end of this course you will have a resume that communicates impact instead of responsibilities, a LinkedIn profile optimized for recruiter discovery, and a much stronger understanding of how the software engineering hiring market actually works. The resume screen is the first filter in every hiring process.

This course is designed to help you pass it.

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Level: All Levels

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Duration: Self-paced

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Instructor: Abay Assenov

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📹Video lectures
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📱Mobile & desktop access
🎓Certificate of completion
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This course contains the use of artificial intelligence.Coding agents arrived faster than the vocabulary for them. You are told that four tools are all different, and also that they are all the same thing. This course settles that question by explaining the machinery instead of selling a tool. By the end you understand what an AI coding agent is, how one is built, what words the field uses, and what these tools look like on real teams, and you have tried the judgement calls yourself on your own material.Who this is for. Developers who want to know what is actually happening when an agent edits their repository. Tech leads who have to decide what their team standardises on, what it costs, and how the work gets reviewed. Adjacent specialists, in testing, in security, in product, in compliance, who are now in the room when these decisions get made and need the concepts rather than the keystrokes.Who this is not for. If you want a code-along where you type what the instructor types and end up with an application, this is the wrong course. There is no screen recording here and nothing to install. If you only want a feature tour of one tool, the market already has several. And if you want someone to tell you which tool is best, you will be disappointed on purpose: the honest answer is that the architecture is shared and the choice comes down to where the work lives, how it gets reviewed, and what it costs per accepted change.What makes this course different. Four things. First, every module follows one real, sourced case from beginning to end, including the part where something broke. Second, honesty is structural, not decorative: one whole lesson walks through a randomised trial in which experienced developers were measurably slower while feeling faster, there is a full catalogue of the ways agent runs fail, and there is a named lesson about who this way of working does not suit. Third, this is a map rather than a list. The harness-and-model frame is built once, in the early modules, and then reused on all four tools, so you see connections instead of four disconnected feature tours. Fourth, every module ends with one short judgement task with a model answer, done on work you already have.The modules, and the case each one follows.What an AI coding agent is. The case is a large retailer handing an agent its hardest task inside a very large codebase, then rebuilding its workflows around what it learned.What an agent is made of. The case is a controlled study across ten open-source repositories that ran the same pull-request tasks with and without a committed instruction file.The words people use. The case is a vendor redesign that broke setups people had already built habits and glue around, which is where lock-in actually lives.Claude Code and OpenAI Codex on one task. The case is the Northwind Ledger authentication refactor, a composite engineering task named as composite on screen, taken through both terminal agents from the ticket to the limit each one hits.Cursor and GitHub Copilot on one task. The case is the Northwind Ledger checkout bug, the same fictional product and different work, fixed once inside the editor and once as a pull request.A working week with agents. The case is a research organisation that measured developer productivity, found the opposite of what its participants believed, and then publicly redesigned its own experiment.What comes next. The case is a private bank taking coding agents through risk, information security and data protection before a single developer got access.That last module, lesson by lesson. It opens with the key terms for context engineering and spec-first work. Then: know whether this way of working suits you, which is the honest exit ramp. Understand context engineering and what survives it, separating the three practices that hold from the methodology noise around them. See the four agents side by side on one table, on axes chosen because they do not go stale. See what a regulated rollout has to prove first. Watch a bank take agents through compliance. Know what this course skipped and where to get it. And finally, try it: rewrite a one-line ticket as a spec, where the graded point is the list of what the agent may not touch.What this course does not cover. No prices and no per-plan usage limits, because they change constantly and because a course that names them teaches you a number instead of a method. No benchmark rankings, since a score measures the model and the harness together. No model names. No installation walkthroughs, no configuration reference, and no screen recordings. No language or framework tutoring: the example code is there to be read, not to be run. No deep dive on writing your own tool servers. Where something was left out, the last lesson says so and says where to go for it.You will need no prior experience with any of these four tools. You will get more out of the course if you have read other people's code before, because reviewing work you did not write is the skill this whole subject turns on.

CTO: Chief Technology Officer [EN]

Udemy Instructor

This course contains the use of artificial intelligence. A good developer solves tasks.A strong team lead organizes the team.And a CTO defines which problems are worth solving at all, which technologies to develop, and how exactly they will move the business forward.Moving into the Chief Technology Officer role is almost never about writing more code. On the contrary, there is less code and more decisions that affect the entire company. This is where many strong engineers face a gap: they have deep technical expertise, but lack an understanding of the CTO role, C-level logic, and strategic thinking.This course is designed as a systematic introduction to the real work of a CTO — without illusions, without abstract theory, and without “motivational” storytelling. Only what technical directors actually face in companies: strategy, architecture, teams, scaling, risks, and innovation.Over 6 sessions, you build a holistic view of the CTO role and gain a clear action map — how to think, what to focus on, and which decisions to make at the business level, not at the level of individual technologies.Course Program:Module 1. The CTO Role and C-Level Strategic ThinkingCovers the CTO mission, areas of responsibility, and differences from adjacent roles (CIO, CPO, VP of Engineering). Explores the balance between business and technology and the core competencies of a technical leader.Module 2. Technology Strategy and ArchitectureBuilding an IT strategy aligned with business goals, selecting the technology stack, and choosing architectural approaches. Discusses modern trends and decision-making criteria for architecture.Module 3. Engineering Team ManagementTeam structures, roles, and processes. Agile, Lean, and DevOps are viewed as management tools. Special focus on hiring, retention, engineer development, and engineering culture.Module 4. Products, Projects, and RisksHow the CTO works with the CEO, CPO, and the business. Prioritization of technology initiatives, working with legacy systems, performance metrics, risk management, and cybersecurity.Module 5. Scaling and Cost ManagementSupporting company growth, architecture at scale, FinOps, infrastructure optimization, and the CTO’s role in M&A and entering new markets.Module 6. Innovation and the Future of the CTO RoleAI, automation, and new technology vectors. The CTO as a driver of digital transformation, creator of competitive advantages, and builder of partner ecosystems.This course does not turn an engineer into a “manager for the sake of management.” It helps you understand how technology becomes a lever for business growth and the role the CTO plays in that process. After completing the course, you gain clarity, structure, and confidence to move to the next level of responsibility.This course contains advertising.

Ultimate Full-Stack Web Development & System Design: 200 Q&A

Udemy Instructor

Welcome to the Ultimate Full-Stack Web Development & System Design: 200 Q&A! Whether you are preparing for a senior software engineering interview, technical screening, or looking to master end-to-end web architecture, this comprehensive practice exam course is designed to validate and elevate your expertise.Modern software engineering requires mastery across the entire stack—from high-performance frontend rendering with React and Next.js, robust backend APIs with Node.js and Django, deep database tuning with PostgreSQL and Redis, to massive distributed system scaling and web security. Passing rigorous technical interviews demands deep conceptual clarity and practical design trade-offs. This course provides a robust testing ground featuring 200 rigorous, real-world practice questions. Each question has been carefully curated to challenge your understanding and reinforce key engineering principles.What makes this course unique?Comprehensive Coverage: Spanning Frontend Engineering, Backend APIs, Databases & Caching, System Architecture & Scaling, and Web Security & DevOps.Detailed Explanations: Every single question includes a comprehensive breakdown explaining why the correct answer is right and why the other options are incorrect.Self-Paced Learning: Test your readiness anytime, anywhere, and track your progress as you master complex full-stack domains.Enroll today and validate your full-stack engineering skills with confidence!Course Category & SubcategoryCourse Category: DevelopmentCourse Subcategory: Web Development / Software EngineeringCourse Instructional Level: All Levels

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7 Seconds to Yes: Tech Resume

About this course

Skills you'll gain

Available Coupons