Advanced Professional Photoshop Course to Become Expert

Advanced Professional Photoshop Course to Become Expert

A complete self-paced crash course on Advanced Professional Photoshop, brought to you by Marcus Menti. By the end of this course, you'll have practical knowledge you can apply immediately. Whether you're looking to change careers or enhance your existing skills, this Advanced Professional Photoshop course delivers valuable content.

ā˜…3.7
2945 students
Created by Marcus Menti
Self-paced
English
0 enrolled
T-Shirt Design
Logo Design
Business Card Design
Modern Resume Design
Master Advanced Photoshop Techniques: Elevate your Photoshop skills with advanced techniques like precise selections, masking, composite imagery.
Harness Powerful Photoshop Tools: Uncover the power of advanced tools such as Dodge, Burn, Clone Stamp, and Healing Brush to achieve professional retouch skill.
Create Professional Graphics: Learn to design impactful social media graphics, advertisements, brochures, and other professional-looking visuals.
Master 3D and Mockups: Explore the world of 3D modeling and create realistic mockups to showcase your designs in real-world scenarios.
Enhance Your Workflow: Discover efficient workflow techniques to optimize your time and productivity while producing high-quality work.

Student Reviews

Login to write a review and rate this course.

No reviews yet.

ā“

Frequently Asked Questions

Click the 'Enroll Now' button. You will be redirected to the course page on Udemy (or another platform). The coupon code is usually automatically applied. If not, look for a code in the description or the 'Apply Coupon' section on the checkout page.

Yes, for most Udemy courses, once you enroll using the 100% off coupon, you get lifetime access and a certificate of completion upon finishing the course, just like a paid student.

Coupons have a limited number of redemptions or expire after a certain time (often 5 days or less). If a coupon is not working, it likely means it has expired or reached its maximum usage limit. We recommend checking our latest posts for fresh coupons.

Yes! Once you successfully enroll in the course while the coupon is active, you will have lifetime access to the course content, including future updates.

The courses are hosted on reputable platforms like Udemy. When you enroll with a 100% off coupon, the price should be $0.00, and you generally do NOT need to enter credit card information for free transactions on Udemy.

šŸ’”

You Might Also Like

6 courses
NCA-AIIO Practice Tests: AI Infrastructure & Ops

NCA-AIIO Practice Tests: AI Infrastructure & Ops

This course contains the use of artificial intelligence.Get ready for the NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) exam with 4 full-length, timed practice exams featuring 200 original questions built to mirror the real exam's style, scenario depth, and difficulty. Each exam runs 50 questions and covers the complete NCA-AIIO blueprint: infrastructure planning and design, deployment, and operations and monitoring for GPU-accelerated data centers.These aren't generic multiple-choice questions. Every question is a realistic, scenario-driven problem — the kind you'll actually face when planning GPU clusters, weighing cloud versus on-premises tradeoffs, troubleshooting inter-node bottlenecks, or keeping a production AI service highly available while managing cost and power. After you select an answer, the explanation reveals in two tiers: a conversational, plain-English breakdown that walks through the reasoning like a mentor at your desk, followed by a deeper, technical explanation that connects the concept back to real-world NVIDIA data center architecture and operations practice. Every single question also ships with a custom-built infographic that visualizes the scenario — GPU utilization graphs, network bottleneck diagrams, cost comparisons, and more — so abstract infrastructure concepts actually click.This course covers the core domains you'll be tested on:- Infrastructure Planning and Design — sizing GPU clusters, cloud vs. on-premises decisions, capacity planning, power and cooling tradeoffs- Deployment — rolling out AI workloads, scaling strategies, containerization and orchestration considerations for GPU infrastructure- Operations and Monitoring — diagnosing performance bottlenecks, interpreting utilization metrics, keeping distributed GPU clusters healthy and highly availableWhether you're a data center technician, systems administrator, or IT professional moving into AI infrastructure operations, these practice exams are built to expose your knowledge gaps before exam day, reinforce the reasoning behind each correct answer, and build the confidence you need to pass.All 200 questions are original practice material created to match the style, scenario complexity, and difficulty level of the NCA-AIIO exam. These are not real exam questions and not brain-dump content — this course is independent, original practice material and is not affiliated with, endorsed by, or sponsored by NVIDIA.What's Included:- 4 full-length, timed practice exams (50 questions each)- 200 original, scenario-based questions- Automatic scoring with instant feedback- Two-tier explanations (conversational + technical) for every question- A custom infographic for every question- Complete coverage of all three NCA-AIIO exam domainsWho this course is for:IT pros, sysadmins, and data center technicians preparing for the NVIDIA NCA-AIIO examInfrastructure and operations engineers validating their GPU cluster planning, deployment, and monitoring knowledgeAnyone moving into an AI infrastructure or MLOps role wanting realistic, scenario-based practice

4.5
Zach Zang
ć‚¼ćƒ­ć‹ć‚‰ę„µć‚ć‚‹Luaå®Œå…Øćƒžć‚¹ć‚æćƒ¼č¬›åŗ§ — å…„é–€ć‹ć‚‰å®Ÿęˆ¦ć¾ć§

ć‚¼ćƒ­ć‹ć‚‰ę„µć‚ć‚‹Luaå®Œå…Øćƒžć‚¹ć‚æćƒ¼č¬›åŗ§ — å…„é–€ć‹ć‚‰å®Ÿęˆ¦ć¾ć§

This course contains the use of artificial intelligence.LuaćÆć€ćƒ–ćƒ©ć‚øćƒ«ć§ē”Ÿć¾ć‚ŒćŸå°ć•ćŖć‚¹ć‚ÆćƒŖćƒ—ćƒˆčØ€čŖžć§ć‚ć‚ŠćŖćŒć‚‰ć€äø–ē•Œäø­ć®ć‚²ćƒ¼ćƒ ć‚Øćƒ³ć‚øćƒ³ć€ēµ„č¾¼ćæę©Ÿå™Øć€ćƒćƒƒćƒˆćƒÆćƒ¼ć‚Æę©Ÿå™Øć€ć•ć‚‰ć«ćÆå®‡å®™ęŽ¢ęŸ»ę©Ÿć«ć¾ć§ęŽ”ē”Øć•ć‚Œć¦ć„ć‚‹ć€é©šćć»ć©å½±éŸæåŠ›ć®ć‚ć‚‹čØ€čŖžć§ć™ć€‚World of Warcraft态Roblox态Adobe Lightroom态Nginx态Redis态Wireshark — ć‚ćŖćŸćŒę—„åøøēš„ć«č§¦ć‚Œć¦ć„ć‚‹å¤šćć®ć‚½ćƒ•ćƒˆć‚¦ć‚§ć‚¢ć®å†…å“ć§ć€LuaćÆć€ŒčØ­å®šć€ćØć€Œę‹”å¼µć€ć®ćŸć‚ć®å…±é€ščØ€čŖžćØć—ć¦é™ć‹ć«å‹•ć„ć¦ć„ć¾ć™ć€‚ćŖćœć“ć‚Œć»ć©å¤šćć®åˆ†é‡Žć§éøć°ć‚Œć‚‹ć®ć‹ć€‚ćć®ē­”ćˆćÆć€å¾¹åŗ•ć—ćŸč»½é‡ę€§ć€ę„µć‚ć¦ē°”ę½”ćŖę–‡ę³•ć€ćć—ć¦ć€Œę©Ÿę§‹ć‚’ęä¾›ć—ć€ę–¹é‡ćÆäøŽćˆćŖć„ć€ćØć„ć†ē‹¬ē‰¹ć®čØ­čØˆå“²å­¦ć«ć‚ć‚Šć¾ć™ć€‚ęœ¬č¬›åŗ§ćÆć€ć“ć®é­…åŠ›ēš„ćŖčØ€čŖžć‚’ć‚¼ćƒ­ć‹ć‚‰ä½“ē³»ēš„ć«å­¦ć³ć€å®Ÿęˆ¦ć§ę­¦å™ØćØć—ć¦ä½æćˆć‚‹ćƒ¬ćƒ™ćƒ«ć¾ć§å¼•ćäøŠć’ć‚‹ćŸć‚ć®ę—„ęœ¬čŖžå®Œå…Øć‚³ćƒ¼ć‚¹ć§ć™ć€‚ęœ¬č¬›åŗ§ćÆć€Œę¦‚åæµćØå®Ÿč£…ć‚’ē¹”ć‚Šäŗ¤ćœć‚‹ć€ę§‹ęˆćŒå¤§ććŖē‰¹å¾“ć§ć™ć€‚å…ØéƒØć§äøƒć¤ć®ć‚»ć‚Æć‚·ćƒ§ćƒ³ć«åˆ†ć‹ć‚Œć€å„ć‚³ćƒ¼ćƒ‡ć‚£ćƒ³ć‚°ć‚»ć‚Æć‚·ćƒ§ćƒ³ćÆć¾ćšć€ćć®ē« ć®ćƒ†ćƒ¼ćƒžć‚’ē†č§£ć™ć‚‹ćŸć‚ć®ēŸ­ć„ę¦‚åæµćƒ¬ć‚Æćƒćƒ£ćƒ¼ — ę­“å²ć€čØ­čØˆę€ęƒ³ć€ćŖćœćć†ćŖć£ć¦ć„ć‚‹ć®ć‹ćØć„ć†čƒŒę™Æ — ć‹ć‚‰å§‹ć¾ć‚Šć€ćć“ć‹ć‚‰ć™ćć«ę‰‹ć‚’å‹•ć‹ć™ćƒćƒ³ć‚ŗć‚Ŗćƒ³ć®ć‚³ćƒ¼ćƒ‡ć‚£ćƒ³ć‚°ćøćØå…„ć£ć¦ć„ćć¾ć™ć€‚printé–¢ę•°ć«ć‚ˆć‚‹ęœ€åˆć®å‡ŗåŠ›ć‹ć‚‰ć€å¤‰ę•°ćØć‚¹ć‚³ćƒ¼ćƒ—ć€ę•°å€¤ćƒ»ę–‡å­—åˆ—ćƒ»ćƒ–ćƒ¼ćƒ«ćƒ»nilćØć„ć£ćŸåŸŗęœ¬åž‹ć€if文や数値forꖇ态while悄repeatć€ć‚øć‚§ćƒćƒŖćƒƒć‚ÆforćØć„ć£ćŸåˆ¶å¾”ę§‹é€ ć€é–¢ę•°å®šē¾©ćØå¤šå€¤čæ”å“ć€åÆå¤‰é•·å¼•ę•°ć€ē¬¬äø€ē“šé–¢ę•°ć€ć‚Æćƒ­ćƒ¼ć‚øćƒ£ć€å†åø°ć€ćć—ć¦Luaå”Æäø€ć«ć—ć¦äø‡čƒ½ć®ćƒ‡ćƒ¼ć‚æę§‹é€ ć§ć‚ć‚‹ćƒ†ćƒ¼ćƒ–ćƒ«ć‚’ć€é…åˆ—ćƒ»ćƒćƒƒć‚·ćƒ„ćƒ»å…„ć‚Œå­ćƒ»ć‚Ŗćƒ–ć‚øć‚§ć‚ÆćƒˆčØ˜ę³•ć®ć™ć¹ć¦ć®č¦³ē‚¹ć‹ć‚‰äøåÆ§ć«å­¦ć³ć¾ć™ć€‚ć•ć‚‰ć«ć€ć‚³ćƒ«ćƒ¼ćƒćƒ³ć®å®Ÿč£…ć€map惻filter惻reduce态pcallとxpcallć«ć‚ˆć‚‹ć‚Øćƒ©ćƒ¼å‡¦ē†ć€ę¼”ē®—å­ć‚Ŗćƒ¼ćƒćƒ¼ćƒ­ćƒ¼ćƒ‰ć€__indexć«ć‚ˆć‚‹č‡Ŗä½œć‚Æćƒ©ć‚¹ć‚·ć‚¹ćƒ†ćƒ ć€ćƒ¢ć‚øćƒ„ćƒ¼ćƒ«ćƒ‘ć‚æćƒ¼ćƒ³ć€ćƒ•ć‚”ć‚¤ćƒ«å…„å‡ŗåŠ›ć€Luaē‹¬č‡Ŗć®ćƒ‘ć‚æćƒ¼ćƒ³ćƒžćƒƒćƒćƒ³ć‚°ć€å¼±å‚ē…§ćƒ†ćƒ¼ćƒ–ćƒ«ć€ć‚µćƒ³ćƒ‰ćƒœćƒƒć‚Æć‚¹ć€LuaRocksć«ć‚ˆć‚‹ćƒ‘ćƒƒć‚±ćƒ¼ć‚øē®”ē†ć€ćć—ć¦ē· ć‚ććć‚Šć®ćƒŸćƒ‹ćƒ—ćƒ­ć‚øć‚§ć‚Æćƒˆć¾ć§ć€å®Ÿč£…ć®č…•ć‚’äø€ę°—ć«é›ćˆäøŠć’ć¾ć™ć€‚ćƒćƒ³ć‚ŗć‚Ŗćƒ³ć®é”ŒęćÆRPGć‚„ć‚²ćƒ¼ćƒ äø–ē•Œć‚’ćƒ¢ćƒćƒ¼ćƒ•ć«ć—ćŸč¦Ŗć—ćæć‚„ć™ć„ä¾‹ć§ēµ±äø€ć•ć‚Œć¦ćŠć‚Šć€å‹‡č€…ć‚„ćƒ‘ćƒ¼ćƒ†ć‚£ć€ćƒœć‚¹ęˆ¦ć€ęˆ¦åˆ©å“ćØć„ć£ćŸå…·ä½“ēš„ćŖå “é¢ć‚’é€šć—ć¦ć€ęŠ½č±”ēš„ćŖę–‡ę³•ćŒć€Œå®Ÿéš›ć«ä½•ć®å½¹ć«ē«‹ć¤ć®ć‹ć€ć‚’ä½“ć§č¦šćˆć‚‰ć‚Œć‚‹ć‚ˆć†čØ­čØˆć•ć‚Œć¦ć„ć¾ć™ć€‚ćć—ć¦ęœ€ēµ‚ć‚»ć‚Æć‚·ćƒ§ćƒ³ć®ē· ć‚ććć‚ŠćØć—ć¦ć€ć‚ˆć‚Šę·±ć„å†…éƒØę§‹é€ ćØčØ­čØˆę€ęƒ³ć‚’ęŽ˜ć‚Šäø‹ć’ć‚‹ę¦‚åæµćƒ¬ć‚Æćƒćƒ£ćƒ¼ē¾¤ć‚’é…ē½®ć—ć¾ć—ćŸć€‚äø‰ēØ®é”žć®ć‚Ŗćƒ–ć‚øć‚§ć‚ÆćƒˆęŒ‡å‘ć‚¢ćƒ—ćƒ­ćƒ¼ćƒć®ęÆ”č¼ƒć€åÆ¾ē§°ēš„å”čŖæćƒžćƒ«ćƒć‚æć‚¹ć‚ÆćØć—ć¦ć®ć‚³ćƒ«ćƒ¼ćƒćƒ³ć€ćƒ¬ć‚øć‚¹ć‚æćƒ™ćƒ¼ć‚¹ä»®ęƒ³ćƒžć‚·ćƒ³ćØćƒć‚¤ćƒˆć‚³ćƒ¼ćƒ‰ć€LuaJITć®ćƒˆćƒ¬ćƒ¼ć‚¹ć‚³ćƒ³ćƒ‘ć‚¤ćƒ©ć€ćć—ć¦ćƒ›ć‚¹ćƒˆčØ€čŖžCćØć®ēµå©šćØć„ć†ēµ„č¾¼ćæć‚¢ćƒ¼ć‚­ćƒ†ć‚Æćƒćƒ£ — ć“ć‚Œć‚‰ć‚’ć¾ćØć‚ć¦å­¦ć¶ć“ćØć§ć€ć‚³ćƒ¼ćƒ‰ć®č£å“ć§ä½•ćŒčµ·ćć¦ć„ć‚‹ć®ć‹ć‚’č…¹ć®åŗ•ć‹ć‚‰ē†č§£ć§ćć‚‹ć‚ˆć†å°Žćć¾ć™ć€‚ć“ć®č¬›åŗ§ćÆć€ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ęœŖēµŒéØ“ć‹ć‚‰å§‹ć‚ćŸć„ę–¹ć€ä»–čØ€čŖžć®ēµŒéØ“č€…ć§Luać‚’ę­£ć—ćčŗ«ć«ć¤ć‘ćŸć„ę–¹ć€ć‚²ćƒ¼ćƒ é–‹ē™ŗć§Roblox悄Lƶve2D态Defoldć‚’ä½æć„ćŸć„ę–¹ć€ēµ„č¾¼ćæé–‹ē™ŗć‚„Nginx惻Redisć®ę‹”å¼µć€ćƒćƒƒćƒˆćƒÆćƒ¼ć‚Æę©Ÿå™Øć®č‡Ŗå‹•åŒ–ć«Luać‚’ę“»ē”Øć—ćŸć„ę–¹ć‚’äø»ćŖåÆ¾č±”ćØć—ć¦ć„ć¾ć™ć€‚å‰ęēŸ„č­˜ćÆć»ćØć‚“ć©äøč¦ć§ć€ćƒ‘ć‚½ć‚³ćƒ³ć®åŸŗęœ¬ę“ä½œćØć€ę–°ć—ć„ć“ćØć‚’å­¦ć¶ę„ę¬²ćŒć‚ć‚Œć°ååˆ†ć§ć™ć€‚å—č¬›å¾Œć«ćÆć€Luać®å…Øę–‡ę³•ć‚’č‡Ŗäæ”ć‚’ęŒć£ć¦čŖ­ćæę›øćć§ćć€ćƒ†ćƒ¼ćƒ–ćƒ«ćØćƒ”ć‚æćƒ†ćƒ¼ćƒ–ćƒ«ć‚’ä½æć£ćŸčØ­čØˆć€ć‚³ćƒ«ćƒ¼ćƒćƒ³ć«ć‚ˆć‚‹å”čŖæå‡¦ē†ć€ē‹¬č‡Ŗć®ć‚Æćƒ©ć‚¹ć‚·ć‚¹ćƒ†ćƒ ćØå†åˆ©ē”ØåÆčƒ½ćŖćƒ¢ć‚øćƒ„ćƒ¼ćƒ«ć®ä½œęˆć€ć‚Øćƒ©ćƒ¼č€ę€§ć®ć‚ć‚‹ć‚³ćƒ¼ćƒ‰ć®ę›øćę–¹ć€ćć—ć¦å¤–éƒØćƒ©ć‚¤ćƒ–ćƒ©ćƒŖć‚’ēµ„ćæåˆć‚ć›ć¦å®Ÿē”Øćƒ„ćƒ¼ćƒ«ć‚’ēµ„ćæē«‹ć¦ć‚‹åŠ›ćŒčŗ«ć«ć¤ćć¾ć™ć€‚ęœ¬č¬›åŗ§ć®ē‰¹å¾“ćÆć€å˜ćŖć‚‹ę–‡ę³•ć®ęš—čØ˜ć«ēµ‚ć‚ć‚‰ćšć€ćŖćœćć†ćŖć£ć¦ć„ć‚‹ć®ć‹ćØć„ć†čØ­čØˆę€ęƒ³ćØć€ä»®ęƒ³ćƒžć‚·ćƒ³ćƒ»JIT惻Cé€£ęŗćØć„ć£ćŸå†…éƒØćƒ”ć‚«ćƒ‹ć‚ŗćƒ ć¾ć§čøćæč¾¼ć‚“ć§č§£čŖ¬ć™ć‚‹ē‚¹ć«ć‚ć‚Šć¾ć™ć€‚ę—„ęœ¬čŖžćƒć‚¤ćƒ†ć‚£ćƒ–å‘ć‘ć«ć€ē”ØčŖžćØę¦‚åæµć‚’äø€ć¤ć²ćØć¤äøåÆ§ć«ę•“ē†ć—ć€å„ē« ć§čƒŒę™Æć‚’ęŠ¼ć•ćˆć¦ć‹ć‚‰å®Ÿéš›ć«ę‰‹ć‚’å‹•ć‹ć—ć¦ē†č§£ć‚’ē©ćæäøŠć’ć¦ć„ćę§‹ęˆć§ć™ć€‚LuaćØć„ć†å°ć•ćē¾Žć—ć„čØ€čŖžć®ęœ¬č³Ŗć‚’äø€ē·’ć«å‘³ć‚ć„ć€ć‚ćŖćŸć®ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°č”Øē¾ć®å¹…ć‚’åŗƒć’ć¾ć—ć‚‡ć†ć€‚ä»Šć™ćå—č¬›ć‚’é–‹å§‹ć—ć¦ć€č»½é‡čØ€čŖžć®ēœŸé«„ć‚’ä½“ę„Ÿć—ć¦ćć ć•ć„ć€‚Who this course is for:ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ęœŖēµŒéØ“ć‹ć‚‰ęœ€åˆć®ęœ¬ę ¼ēš„ćŖčØ€čŖžćØć—ć¦Luać‚’å­¦ć³ćŸć„ę–¹ä»–čØ€čŖžć®ēµŒéØ“č€…ć§ć€č»½é‡ć§ēµ„č¾¼ćæć«å¼·ć„Luać‚’ę­£ć—ćčŗ«ć«ć¤ć‘ćŸć„ę–¹Roblox态Lƶve2D态Defold态CoronaなどLuaćƒ™ćƒ¼ć‚¹ć®ć‚²ćƒ¼ćƒ é–‹ē™ŗć«é€²ćæćŸć„ę–¹Nginx态Redis态Wiresharkć€ēµ„č¾¼ćæę©Ÿå™Øć‚’Luać§ę‹”å¼µćƒ»č‡Ŗå‹•åŒ–ć—ćŸć„ć‚Øćƒ³ć‚øćƒ‹ć‚¢čØ€čŖžå‡¦ē†ē³»ć®å†…éƒØć€ä»®ęƒ³ćƒžć‚·ćƒ³ć€JITć‚³ćƒ³ćƒ‘ć‚¤ćƒ«ć«ēŸ„ēš„čˆˆå‘³ć‚’ęŒć¤å­¦ēæ’č€…

4.5
ProgLang MainSt.
Clojureå®Œå…Øå…„é–€:é–¢ę•°åž‹ćØREPLé§†å‹•é–‹ē™ŗć§å­¦ć¶å®Ÿč·µćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°

Clojureå®Œå…Øå…„é–€:é–¢ę•°åž‹ćØREPLé§†å‹•é–‹ē™ŗć§å­¦ć¶å®Ÿč·µćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°

This course contains the use of artificial intelligence.ć‚½ćƒ•ćƒˆć‚¦ć‚§ć‚¢é–‹ē™ŗć®č¤‡é›‘ć•ćŒēˆ†ē™ŗēš„ć«å¢—å¤§ć™ć‚‹ē¾ä»£ć«ćŠć„ć¦ć€ClojurećÆć€Œć‚·ćƒ³ćƒ—ćƒ«ć•ćÆē¾Žå¾³ć§ć‚ć‚‹ć€ćØć„ć†å¼·ć„äæ”åæµć«åŸŗć„ć„ć¦čØ­čØˆć•ć‚ŒćŸę•°å°‘ćŖć„čØ€čŖžć®äø€ć¤ć§ć™ć€‚Rich HickeyćŒęå”±ć—ćŸäøå¤‰ę€§ćØćƒ‡ćƒ¼ć‚æęŒ‡å‘ć®å“²å­¦ćÆć€Webć€ćƒ‡ćƒ¼ć‚æå‡¦ē†ć€é‡‘čžć€ę©Ÿę¢°å­¦ēæ’åŸŗē›¤ćŖć©å¤šę§˜ćŖé ˜åŸŸć§å®ŸčØ¼ć•ć‚Œć€äø–ē•Œäø­ć®ä¼ę„­ć®é‡č¦ć‚·ć‚¹ćƒ†ćƒ ć‚’ę”Æćˆć¦ć„ć¾ć™ć€‚JVMćØć„ć†äø–ē•Œęœ€å¼·ć‚Æćƒ©ć‚¹ć®ćƒ©ćƒ³ć‚æć‚¤ćƒ ć«ä¹—ć‚Šć¤ć¤ć€Lispć®č”Øē¾åŠ›ćØREPLé§†å‹•é–‹ē™ŗć®å³åæœę€§ć‚’å…¼ć­å‚™ćˆćŸClojurećÆć€é–¢ę•°åž‹ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ć‚’ć€Œē†č«–ć€ć§ćÆćŖćć€Œę—„åøøć®é“å…·ć€ćØć—ć¦ä½“éØ“ć•ć›ć¦ćć‚Œć‚‹ēØ€ęœ‰ćŖéøęŠžč‚¢ć§ć™ć€‚ęœ¬ć‚³ćƒ¼ć‚¹ćÆć€ćć®ę€ęƒ³ćØå®Ÿč£…ć®äø”é¢ć«ę·±ćčøćæč¾¼ćæć¾ć™ć€‚ęœ¬ć‚³ćƒ¼ć‚¹ć®ę§‹ęˆć«ćÆę˜Žē¢ŗćŖē‹™ć„ćŒć‚ć‚Šć¾ć™ć€‚ć‚³ćƒ¼ćƒ‡ć‚£ćƒ³ć‚°ć‚’ę‰±ć†å„ć‚»ć‚Æć‚·ćƒ§ćƒ³ćÆć¾ćšć€ćć®é ˜åŸŸćŒć€ŒćŖćœćć†čØ­čØˆć•ć‚ŒćŸć®ć‹ć€ć‚’čŖžć‚‹ēŸ­ć„ę¦‚åæµćƒ¬ć‚Æćƒćƒ£ćƒ¼ć§å¹•ć‚’é–‹ć‘ć€ē¶šć‘ć¦REPLć§ę‰‹ć‚’å‹•ć‹ć™ćƒćƒ³ć‚ŗć‚Ŗćƒ³ć®ć‚³ćƒ¼ćƒ‡ć‚£ćƒ³ć‚°ćƒ¬ć‚Æćƒćƒ£ćƒ¼ćøćØé€²ćæć¾ć™ć€‚å‡ŗåŠ›ćƒ»åŸŗęœ¬ćƒ‡ćƒ¼ć‚æåž‹ć‹ć‚‰å§‹ć¾ć‚Šć€ę¼”ē®—ćØę”ä»¶åˆ†å²ć€é–¢ę•°å®šē¾©ć€ćƒ™ć‚Æć‚æćƒ»ćƒŖć‚¹ćƒˆćƒ»ćƒžćƒƒćƒ—ćƒ»é›†åˆćØć„ć£ćŸć‚³ćƒ¬ć‚Æć‚·ćƒ§ćƒ³ę“ä½œćøćØć€ę¦‚åæµćØå®Ÿč·µć‚’äŗ¤äŗ’ć«ē¹”ć‚Šäŗ¤ćœćŖćŒć‚‰åŸŗē¤Žć‚’äø€ę®µćšć¤å›ŗć‚ć¦ć„ćć¾ć™ć€‚äø­ē›¤ä»„é™ćÆé«˜éšŽé–¢ę•°ć€map惻filter惻reduceć€ć‚¹ćƒ¬ćƒƒćƒ‡ć‚£ćƒ³ć‚°ćƒžć‚Æćƒ­ć€comp/partial/juxtć«ć‚ˆć‚‹é–¢ę•°åˆęˆć€ćƒˆćƒ©ćƒ³ć‚¹ćƒ‡ćƒ„ćƒ¼ć‚µć€ćć—ć¦Atom惻core.asyncćƒ»ćƒžć‚Æćƒ­ćƒ»ćƒ—ćƒ­ćƒˆć‚³ćƒ«ćØć„ć£ćŸClojurećŖć‚‰ć§ćÆć®äøŠē“šęŠ€ę³•ćøćØć€åŒć˜ćƒŖć‚ŗćƒ ć§čøćæč¾¼ćæć¾ć™ć€‚ćć—ć¦ć‚³ćƒ¼ć‚¹ć®ēµ‚ē›¤ćÆć€STM惻Atom惻Ref惻Agentć®ēŠ¶ę…‹ćƒ¢ćƒ‡ćƒ«ć®å››č±”é™ć€é…å»¶ć‚·ćƒ¼ć‚±ćƒ³ć‚¹ć®ćƒćƒ£ćƒ³ć‚Æč©•ä¾”ć®ä»•ēµ„ćæć€ćƒˆćƒ©ćƒ³ć‚¹ćƒ‡ćƒ„ćƒ¼ć‚µć®čØ­čØˆę€ęƒ³ć€Spec惻Mallić«ć‚ˆć‚‹å®£čØ€ēš„ćƒ‡ćƒ¼ć‚æå„‘ē“„ć€ćć—ć¦REPLé§†å‹•é–‹ē™ŗćØćƒŖćƒƒćƒćƒćƒƒć‚«ćƒ¼ę–‡åŒ–ćØć„ć£ćŸć€Clojureć‚’ć€ŒćŸć ć®Lispć€ä»„äøŠć®å­˜åœØć«ć—ć¦ć„ć‚‹ę·±ć„ę¦‚åæµćƒ¬ć‚Æćƒćƒ£ćƒ¼ē¾¤ć§ć˜ć£ćć‚ŠćØē· ć‚ććć‚Šć¾ć™ć€‚åÆ¾č±”ćÆć€ä»–čØ€čŖž(Java态Python态JavaScript态Rubyなど)ć§ć®åŸŗęœ¬ēš„ćŖćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ēµŒéØ“ćŒć‚ć‚Šć€é–¢ę•°åž‹ćƒ‘ćƒ©ćƒ€ć‚¤ćƒ ć‚„Lispē³»čØ€čŖžć«ęœ¬ę°—ć§å–ć‚Šēµ„ćæćŸć„ę–¹ć§ć™ć€‚å‰ęēŸ„č­˜ćØć—ć¦é«˜åŗ¦ćŖę•°å­¦ć‚„JVMć®ę·±ć„ē†č§£ćÆäøč¦ć§ć™ćŒć€å¤‰ę•°ćƒ»é–¢ę•°ćƒ»ćƒ‡ćƒ¼ć‚æę§‹é€ ćØć„ć£ćŸäø€čˆ¬ēš„ćŖę¦‚åæµć«č¦Ŗć—ć‚“ć§ć„ć‚‹ć“ćØć‚’ęƒ³å®šć—ć¾ć™ć€‚å—č¬›å¾ŒćÆć€Clojureć§å®Ÿē”Øēš„ćŖć‚¹ć‚ÆćƒŖćƒ—ćƒˆćØć‚¢ćƒ—ćƒŖć‚±ćƒ¼ć‚·ćƒ§ćƒ³ć‚’ę›øćć€REPLć‚’é§†ä½æć—ćŸåÆ¾č©±ēš„é–‹ē™ŗćƒ•ćƒ­ćƒ¼ć‚’čŗ«ć«ć¤ć‘ć€äøå¤‰ćƒ‡ćƒ¼ć‚æćØē“”ē²‹é–¢ę•°ć‚’äø­åæƒćØć—ćŸć‚³ćƒ¼ćƒ‰čØ­čØˆćŒć§ćć‚‹ć‚ˆć†ć«ćŖć‚Šć¾ć™ć€‚ęœ¬ć‚³ćƒ¼ć‚¹ć®ē‰¹å¾“ćÆć€ę§‹ę–‡ć®č”Øå±¤ēš„ćŖč§£čŖ¬ć«ē•™ć¾ć‚‰ćšć€ćŖćœClojurećŒć“ć®čØ­čØˆć«ćŖć£ćŸć®ć‹ćØć„ć†ć€ŒWhyć€ć‚’äø€č²«ć—ć¦ęŽ˜ć‚Šäø‹ć’ć‚‹ē‚¹ć«ć‚ć‚Šć¾ć™ć€‚ę°øē¶šćƒ‡ćƒ¼ć‚æę§‹é€ ć®å†…éƒØć‹ć‚‰ćƒžć‚Æćƒ­ć®ć‚³ćƒ¼ćƒ‰ē”Ÿęˆć¾ć§ć€ęŠ½č±”ć®å±¤ć‚’äø€ć¤ćšć¤å‰„ćŒć—ć¦č¦‹ć›ć¾ć™ć€‚é–¢ę•°åž‹ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ć«ęœ¬ę°—ć§å‘ćåˆć„ćŸć„ć‚Øćƒ³ć‚øćƒ‹ć‚¢ć€č¤‡é›‘ę€§ć«ē–²ć‚ŒćŸć‚·ć‚¹ćƒ†ćƒ é–‹ē™ŗč€…ć€ę–°ć—ć„ę€č€ƒć®é“å…·ć‚’ę±‚ć‚ć‚‹ēŸ„ēš„å„½å„‡åæƒć®ęŒć”äø»ć«ć€ćœć²å—č¬›ć—ć¦ć„ćŸć ććŸć„äø€ęœ¬ć§ć™ć€‚ä»Šć™ćē™»éŒ²ć—ć¦ć€Lispć®ä¼ēµ±ćØćƒ¢ćƒ€ćƒ³ćŖJVMć‚Øć‚³ć‚·ć‚¹ćƒ†ćƒ ćŒäŗ¤å·®ć™ć‚‹åœ°ē‚¹ć§ć€ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ć®ę–°ć—ć„é¢Øę™Æć‚’ä½“éØ“ć—ć¦ćć ć•ć„ć€‚Who this course is for:é–¢ę•°åž‹ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ć‚’ęœ¬ę ¼ēš„ć«å­¦ć³ćŸć„ē¾å½¹ć‚Øćƒ³ć‚øćƒ‹ć‚¢Java悄Kotlinć®ēµŒéØ“č€…ć§ć€JVMäøŠć§å‹•ćåˆ„ć®čØ€čŖžć‚’ęŽ¢ć—ć¦ć„ć‚‹ę–¹Lispć®ē³»č­œćØćƒ¢ćƒ€ćƒ³ćŖå®Ÿē”ØčØ€čŖžćŒäŗ¤å·®ć™ć‚‹åœ°ē‚¹ć«čˆˆå‘³ć®ć‚ć‚‹é–‹ē™ŗč€…Pythonć‚„ćƒ‡ćƒ¼ć‚æć‚Øćƒ³ć‚øćƒ‹ć‚¢ćƒŖćƒ³ć‚°ć®ēµŒéØ“č€…ć§ć€ćƒ‡ćƒ¼ć‚æęŒ‡å‘čØ­čØˆć‚’ę·±ć‚ćŸć„ę–¹č¤‡é›‘ę€§ć«ē–²ć‚Œć€ć‚ˆć‚Šć‚·ćƒ³ćƒ—ćƒ«ć§å …ē‰¢ćŖé–‹ē™ŗę‰‹ę³•ć‚’ę±‚ć‚ć‚‹ć‚½ćƒ•ćƒˆć‚¦ć‚§ć‚¢ęŠ€č”“č€…

4.5
ProgLang MainSt.
Haskellå®Œå…Øćƒžć‚¹ć‚æćƒ¼ļ¼šē“”ē²‹é–¢ę•°åž‹ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°å…„é–€

Haskellå®Œå…Øćƒžć‚¹ć‚æćƒ¼ļ¼šē“”ē²‹é–¢ę•°åž‹ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°å…„é–€

This course contains the use of artificial intelligence.é–¢ę•°åž‹ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ćÆć€ć‚‚ćÆć‚„ć‚¢ć‚«ćƒ‡ćƒŸć‚¢ć®å®ŸéØ“ć§ćÆć‚ć‚Šć¾ć›ć‚“ć€‚é‡‘čžć€ć‚³ćƒ³ćƒ‘ć‚¤ćƒ©ć€å½¢å¼ę‰‹ę³•ć€DSLčØ­čØˆćØć„ć£ćŸć€Œēµ¶åÆ¾ć«é–“é•ćˆć‚‰ć‚ŒćŖć„ć€é ˜åŸŸć§ć€HaskellćÆé™ć‹ć«ć€ć—ć‹ć—ē¢ŗå®Ÿć«ęŽ”ē”Øć‚’åŗƒć’ć¦ćć¾ć—ćŸć€‚ē“”ē²‹ę€§ć€å¼·ć„åž‹ä»˜ć‘ć€é…å»¶č©•ä¾”ćØć„ć†äø‰ć¤ć®ęŸ±ćÆć€ćƒć‚°ć®å¤šćć‚’ć‚³ćƒ³ćƒ‘ć‚¤ćƒ«ę™‚ć«å¼¾ćé£›ć°ć—ć€äæå®ˆę€§ć®é«˜ć„ć‚³ćƒ¼ćƒ‰ć‚’ē”Ÿćæå‡ŗć—ć¾ć™ć€‚AIćŒå¤§é‡ć®ć‚³ćƒ¼ćƒ‰ć‚’ę›øćę™‚ä»£ć ć‹ć‚‰ć“ćć€ć€Œå£Šć‚Œć«ćć„čØ­čØˆć€ć‚’åž‹ć§č”Øē¾ć§ćć‚‹čƒ½åŠ›ćÆć€ć“ć‚Œć¾ć§ä»„äøŠć«åøŒå°‘ćŖę­¦å™Øć«ćŖć‚Šć¾ć™ć€‚ęœ¬ć‚³ćƒ¼ć‚¹ćÆć€ćć®ę­¦å™Øć‚’ć‚ćŖćŸć®ę‰‹ć«ęø”ć™ćŸć‚ć«čØ­čØˆć•ć‚Œć¾ć—ćŸć€‚ęœ¬ć‚³ćƒ¼ć‚¹ćÆć€Haskellć®å…Øä½“åƒć‚’ę­“å²ćØę€ęƒ³ć‹ć‚‰å®Ÿč£…ć®ē“°éƒØć¾ć§ę”ˆå†…ć—ć¾ć™ć€‚å­¦ć³ę–¹ć«ćÆäø€č²«ć—ćŸęµć‚ŒćŒć‚ć‚Šć¾ć™ć€‚å„ć‚³ćƒ¼ćƒ‡ć‚£ćƒ³ć‚°ć‚»ć‚Æć‚·ćƒ§ćƒ³ćÆć€ć¾ćšćć®ćƒ†ćƒ¼ćƒžć®čƒŒę™Æćƒ»ę­“å²ćƒ»ć€ŒćŖćœćć†čØ­čØˆć•ć‚ŒćŸć®ć‹ć€ć‚’čŖžć‚‹ēŸ­ć„ę¦‚åæµč¬›ē¾©ć§å¹•ć‚’é–‹ć‘ć€ćć®ē›“å¾Œć«ę‰‹ć‚’å‹•ć‹ć™ćƒćƒ³ć‚ŗć‚Ŗćƒ³ć®å®Ÿč£…č¬›ē¾©ćŒē¶šćć¾ć™ć€‚ć“ć†ć—ć¦HaskellčŖ•ē”Ÿć®ē‰©čŖžć€čØ­čØˆå“²å­¦ć€å¼±ē‚¹ćØę‰¹åˆ¤ć€ćƒ„ćƒ¼ćƒ«ē”Ÿę…‹ē³»ć€ęŽ”ē”Øäŗ‹ä¾‹ć€é–¢ę•°åž‹čØ€čŖžć®ęÆ”č¼ƒåœ°å›³ćØć„ć£ćŸć€Œę–‡č„ˆć€ć‚’č¦ę‰€č¦ę‰€ć§ęŠ¼ć•ćˆćŖćŒć‚‰ć€ghcić§ć®ęœ€åˆć®äø€ę­©ć€let/whereć€åŸŗęœ¬åž‹ć€åž‹ę³Øé‡ˆć€ćƒ‘ć‚æćƒ¼ćƒ³ćƒžćƒƒćƒć€ć‚¬ćƒ¼ćƒ‰ć€caseå¼ć€é–¢ę•°ć®ē¬¬äø€ē“šę€§ć€ć‚«ćƒŖćƒ¼åŒ–ć€é«˜éšŽé–¢ę•°ć€å†åø°ć€ćƒŖć‚¹ćƒˆå†…åŒ…č”ØčØ˜ć€ē„”é™ćƒŖć‚¹ćƒˆć€ć‚æćƒ—ćƒ«ć€ę–‡å­—åˆ—ć€ē‹¬č‡Ŗåž‹(data/type/newtype)态Maybe/Eitherć€ćć—ć¦åž‹ć‚Æćƒ©ć‚¹ć®č‡Ŗä½œć€derivingć€åˆ¶ē“„ä»˜ćå¤šē›øć€dočØ˜ę³•ćØIOć€ć‚Øćƒ©ćƒ¼å‡¦ē†ć€forkIO/MVar态async/STM态bracketć«ć‚ˆć‚‹ćƒŖć‚½ćƒ¼ć‚¹ē®”ē†ć¾ć§ć‚’ć€ę¦‚åæµćØć‚³ćƒ¼ćƒ‰ć‚’äŗ¤äŗ’ć«ē¹”ć‚ŠäøŠć’ćŖćŒć‚‰ē©ćæäøŠć’ć¦ć„ćć¾ć™ć€‚ćć—ć¦ć‚³ćƒ¼ć‚¹ć®ē· ć‚ććć‚Šć«ćÆć€ćƒ¢ćƒŠćƒ‰ć®ē›“č¦³ć€GHC CorećØé…å»¶č©•ä¾”ć®å®Ÿč£…ć€ć‚¹ćƒšćƒ¼ć‚¹ćƒŖćƒ¼ć‚ÆćØę­£ę ¼ę€§ć€é–¢ę•°åž‹ćƒ‡ć‚¶ć‚¤ćƒ³ćƒ‘ć‚æćƒ¼ćƒ³ć€åæœē”Øé ˜åŸŸćØć„ć£ćŸć€ć‚ˆć‚Šę·±ć„ę¦‚åæµč¬›ē¾©ć‚’ć¾ćØć‚ć¦é…ē½®ć—ć€ćć‚Œć¾ć§ę›øć„ć¦ććŸć‚³ćƒ¼ćƒ‰ć®č£å“ć«ć‚ć‚‹åŽŸē†ć‚’äø€ęœ¬ć®ē³øć§č²«ćć¾ć™ć€‚åÆ¾č±”ćÆć€ä»–čØ€čŖžć®ēµŒéØ“ć‚’ęŒć”é–¢ę•°åž‹ćƒ‘ćƒ©ćƒ€ć‚¤ćƒ ć«ęœ¬ę°—ć§čøćæč¾¼ćæćŸć„ć‚Øćƒ³ć‚øćƒ‹ć‚¢ć€åž‹ć‚·ć‚¹ćƒ†ćƒ ć‚’ę­¦å™Øć«ć—ćŸć„čØ­čØˆč€…ć€CSć®ē†č«–ēš„åŸŗē›¤ć‚’å®Ÿč£…ć§ē¢ŗć‹ć‚ćŸć„å­¦ē”Ÿćƒ»ē ”ē©¶č€…ć§ć™ć€‚å‰ęćÆć€ć„ćšć‚Œć‹ć®čØ€čŖžć§ć®åŸŗęœ¬ēš„ćŖćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ēµŒéØ“ć€ć‚³ćƒžćƒ³ćƒ‰ćƒ©ć‚¤ćƒ³ć®ę“ä½œć€ćƒ†ć‚­ć‚¹ćƒˆć‚Øćƒ‡ć‚£ć‚æć®ä½æē”Øć€ćć—ć¦ęŠ½č±”ę¦‚åæµć‚’ē²˜ć‚Šå¼·ćčæ½ć†ēŸ„ēš„ä½“åŠ›ć§ć™ć€‚äæ®äŗ†ę™‚ć«ćÆć€Haskellć§å°ć€œäø­č¦ęØ”ć®ćƒ—ćƒ­ć‚°ćƒ©ćƒ ć‚’čØ­čØˆćƒ»å®Ÿč£…ć—ć€åž‹ć§ćƒ‰ćƒ”ć‚¤ćƒ³ć‚’č”Øē¾ć—ć€ćƒ¢ćƒŠćƒ‰ć§å‰Æä½œē”Øć‚’åˆ¶å¾”ć—ć€äø¦č”Œćƒ—ćƒ­ć‚°ćƒ©ćƒ ć‚’å®‰å…Øć«ę›øć‘ć‚‹ć‚ˆć†ć«ćŖć‚Šć¾ć™ć€‚é”žę›øćØć®é•ć„ćÆć€ę§‹ę–‡ć®ē¾…åˆ—ć§ćÆćŖćć€ŒćŖćœćć†čØ­čØˆć•ć‚ŒćŸć®ć‹ć€ć‚’ę­“å²ćƒ»å“²å­¦ćƒ»å®Ÿč£…ć®äø‰å±¤ć§čŖžć‚ŠęŠœćē‚¹ć«ć‚ć‚Šć¾ć™ć€‚Haskellć®å¼±ē‚¹ć‚„ęŽ”ē”Øéšœå£ć‚‚ę­£é¢ć‹ć‚‰ę‰±ć„ć€ē¾å®Ÿć®éøęŠžč‚¢ćØć—ć¦č©•ä¾”ć§ćć‚‹ē›®ć‚’é¤Šć„ć¾ć™ć€‚ć‚³ćƒ¼ćƒ‰ć‚’ę›øćć ć‘ć§ćŖćć€é–¢ę•°åž‹ć®ę€č€ƒćć®ć‚‚ć®ć‚’čŗ«ć«ć¤ć‘ćŸć„ćŖć‚‰ć€ä»Šć™ćå—č¬›ć‚’å§‹ć‚ć¦ćć ć•ć„ć€‚Who this course is for:ä»–čØ€čŖžć®ēµŒéØ“ć‚’ęŒć”ć€ē“”ē²‹é–¢ę•°åž‹ćƒ‘ćƒ©ćƒ€ć‚¤ćƒ ć«ęœ¬ę ¼ēš„ć«čøćæč¾¼ćæćŸć„ć‚Øćƒ³ć‚øćƒ‹ć‚¢åž‹ć‚·ć‚¹ćƒ†ćƒ ć‚’ę­¦å™Øć«ć—ć¦å …ē‰¢ćŖćƒ‰ćƒ”ć‚¤ćƒ³ćƒ¢ćƒ‡ćƒ«ć‚’čØ­čØˆć—ćŸć„ć‚¢ćƒ¼ć‚­ćƒ†ć‚ÆćƒˆOCaml态Scala态Rust态Elmć®ēµŒéØ“č€…ć§ć€Haskellć‚’ęÆ”č¼ƒč»øćØć—ć¦å­¦ć³ćŸć„é–‹ē™ŗč€…čØˆē®—ę©Ÿē§‘å­¦ć®ē†č«–ēš„åŸŗē›¤ć‚’å®Ÿč£…ć‚’é€šć—ć¦ä½“ę„Ÿć—ćŸć„å­¦ē”Ÿćƒ»ē ”ē©¶č€…é‡‘čžć€ć‚³ćƒ³ćƒ‘ć‚¤ćƒ©ć€å½¢å¼ę‰‹ę³•ć€DSL領域でHaskellć®ęŽ”ē”Øć‚’ę¤œčØŽć—ć¦ć„ć‚‹ęŠ€č”“č€…

4.5
ProgLang MainSt.
ćƒ¢ćƒ€ćƒ³C++ćƒžć‚¹ć‚æćƒ¼ć‚³ćƒ¼ć‚¹ — åŸŗē¤Žć‹ć‚‰C++20ć¾ć§ę—„ęœ¬čŖžć§å®Œå…Øåˆ¶č¦‡

ćƒ¢ćƒ€ćƒ³C++ćƒžć‚¹ć‚æćƒ¼ć‚³ćƒ¼ć‚¹ — åŸŗē¤Žć‹ć‚‰C++20ć¾ć§ę—„ęœ¬čŖžć§å®Œå…Øåˆ¶č¦‡

This course contains the use of artificial intelligence.C++ćÆåŠäø–ē“€čæ‘ćć«ć‚ćŸć‚Šć€OSć€ć‚²ćƒ¼ćƒ ć‚Øćƒ³ć‚øćƒ³ć€é‡‘čžå–å¼•ć‚·ć‚¹ćƒ†ćƒ ć€ćƒ–ćƒ©ć‚¦ć‚¶ć€ēµ„ćæč¾¼ćæę©Ÿå™Øć€AIćƒ•ćƒ¬ćƒ¼ćƒ ćƒÆćƒ¼ć‚Æć®åæƒč‡“éƒØć‚’ę”Æćˆē¶šć‘ć¦ććŸčØ€čŖžć§ć™ć€‚ćƒćƒ¼ćƒ‰ć‚¦ć‚§ć‚¢ć«ęœ€ć‚‚čæ‘ć„é«˜ę°“ęŗ–čØ€čŖžćØć—ć¦ć€Œć‚¼ćƒ­ć‚Ŗćƒ¼ćƒćƒ¼ćƒ˜ćƒƒćƒ‰åŽŸå‰‡ć€ć‚’ęŽ²ć’ć€RustćŒå°é ­ć™ć‚‹ē¾ä»£ć«ćŠć„ć¦ć‚‚åœ§å€’ēš„ćŖę€§čƒ½ćØę—¢å­˜č³‡ē”£ć§ęŗć‚‹ćŽćŖć„åœ°ä½ć‚’ē¶­ęŒć—ć¦ć„ć¾ć™ć€‚ć—ć‹ć—C++11ä»„é™ć®é€²åŒ–ćÆå‡„ć¾ć˜ćć€ćƒ ćƒ¼ćƒ–ć‚»ćƒžćƒ³ćƒ†ć‚£ć‚Æć‚¹ć€ćƒ©ćƒ ćƒ€å¼ć€ć‚¹ćƒžćƒ¼ćƒˆćƒć‚¤ćƒ³ć‚æć€Concepts态Rangesć€ć‚³ćƒ«ćƒ¼ćƒćƒ³ćØć„ć£ćŸę©Ÿčƒ½ē¾¤ćÆć€ć‚‚ćÆć‚„ć€Œå¤ć„C++ć€ćØćÆåˆ„čØ€čŖžćØčØ€ćˆć‚‹ć»ć©ć§ć™ć€‚ä»Šć“ćć€ćƒ¢ćƒ€ćƒ³C++ć‚’ä½“ē³»ēš„ć«å­¦ć³ē›“ć™ēµ¶å„½ć®ć‚æć‚¤ćƒŸćƒ³ć‚°ćŖć®ć§ć™ć€‚ęœ¬ć‚³ćƒ¼ć‚¹ćÆć€C++ćØć„ć†čØ€čŖžć‚’ć€Œę–‡ę³•ć®ęš—čØ˜ć€ć§ćÆćŖćć€ŒčØ­čØˆę€ęƒ³ćØå†…éƒØćƒ”ć‚«ćƒ‹ć‚ŗćƒ ć€ć‹ć‚‰ē†č§£ć™ć‚‹ć“ćØć‚’ē›®ēš„ćØć—ć¦ć„ć¾ć™ć€‚ćć®ćŸć‚ć«å„ć‚³ćƒ¼ćƒ‡ć‚£ćƒ³ć‚°ć‚»ć‚Æć‚·ćƒ§ćƒ³ćÆć€ć¾ćšēŸ­ć„ę¦‚åæµč¬›ē¾©ć§ć€ŒćŖćœćć†ćŖć£ć¦ć„ć‚‹ć®ć‹ć€ć€Œć©ć‚“ćŖę­“å²ćØčƒŒę™ÆćŒć‚ć‚‹ć®ć‹ć€ć‚’äø€ęœ›ć—ć¦ć‹ć‚‰ć€ć™ćć«ę‰‹ć‚’å‹•ć‹ć™ćƒćƒ³ć‚ŗć‚Ŗćƒ³ć®ć‚³ćƒ¼ćƒ‡ć‚£ćƒ³ć‚°č¬›ē¾©ćøćØå…„ć£ć¦ć„ćę§‹ęˆć«ćŖć£ć¦ć„ć¾ć™ć€‚Hello Worldć®č£ć«ć‚ć‚‹čØ€čŖžć®å¹“č¼Ŗć€åž‹ć‚·ć‚¹ćƒ†ćƒ ć‚’ę”Æćˆć‚‹ć‚Øć‚³ć‚·ć‚¹ćƒ†ćƒ ć€ćƒ”ćƒ¢ćƒŖćƒ¢ćƒ‡ćƒ«ć‚„ę‰€ęœ‰ęØ©ć®č€ƒćˆę–¹ć‚’ę¦‚åæµč¬›ē¾©ć§ęŠ¼ć•ćˆć€ćć®ć†ćˆć§å¤‰ę•°ćƒ»åž‹ćƒ»autoć«ć‚ˆć‚‹åž‹ęŽØč«–ć€åˆ¶å¾”ćƒ•ćƒ­ćƒ¼ć€é–¢ę•°ć€å‚ē…§ęø”ć—ć€ćƒ©ćƒ ćƒ€å¼ć€std::vector惻std::mapćƒ»ć‚¤ćƒ†ćƒ¬ćƒ¼ć‚æćØć„ć£ćŸSTLć‚³ćƒ³ćƒ†ćƒŠć‚’äø€ę®µćšć¤å®Ÿč£…ć—ć¦ć„ćć¾ć™ć€‚ć•ć‚‰ć«std::threadć«ć‚ˆć‚‹äø¦č”Œå‡¦ē†ć€ć‚¹ćƒžćƒ¼ćƒˆćƒć‚¤ćƒ³ć‚æć€ćƒ†ćƒ³ćƒ—ćƒ¬ćƒ¼ćƒˆć€C++20 Concepts、例外処理、std::optional惻std::variantć€ę§‹é€ åŒ–ęŸēø›ć€Rangesćƒ©ć‚¤ćƒ–ćƒ©ćƒŖć€ćć—ć¦ć‚³ćƒ«ćƒ¼ćƒćƒ³ć¾ć§ć€ę¦‚åæµćØć‚³ćƒ¼ćƒ‰ć‚’ē¹”ć‚Šäŗ¤ćœćŖćŒć‚‰čµ°ć‚ŠęŠœć‘ć¾ć™ć€‚ćƒćƒ³ć‚ŗć‚Ŗćƒ³ć®é”Œęć«ćÆć€HPć‚„ćƒ€ćƒ”ćƒ¼ć‚øčØˆē®—ć€ęˆ¦åˆ©å“ć‚„ćƒ‘ćƒ¼ćƒ†ć‚£ē®”ē†ćØć„ć£ćŸRPGć‚²ćƒ¼ćƒ é¢Øć®č¦Ŗć—ćæć‚„ć™ć„ä¾‹ć‚’äø€č²«ć—ć¦ē”Øć„ć€ęŠ½č±”ēš„ć«ćŖć‚ŠćŒć”ćŖę–‡ę³•ć‚’å…·ä½“ēš„ćŖć‚¤ćƒ”ćƒ¼ć‚øćØćØć‚‚ć«ä½“ć«ęŸ“ćæč¾¼ć¾ć›ć¾ć™ć€‚å…Ø7ć‚»ć‚Æć‚·ćƒ§ćƒ³ć§ę§‹ęˆć•ć‚Œć€ęœ€åˆć®äø€ę­©ć‹ć‚‰ćƒ¢ćƒ€ćƒ³C++ć®ęœ€ę–°ę©Ÿčƒ½ć¾ć§ć‚’ę®µéšŽēš„ć«ē©ćæäøŠć’ć¾ć™ć€‚ćć—ć¦ć‚³ćƒ¼ć‚¹ć®ē· ć‚ććć‚Šć«ćÆć€ćƒ ćƒ¼ćƒ–ć‚»ćƒžćƒ³ćƒ†ć‚£ć‚Æć‚¹ćØå³č¾ŗå€¤å‚ē…§ć®ęœ¬č³Ŗć€C++ć®ä»£č”Øēš„ćŖćƒ‡ć‚¶ć‚¤ćƒ³ćƒ‘ć‚æćƒ¼ćƒ³åœ°å›³ć€ęœŖå®šē¾©å‹•ä½œ(UB)ćØć‚³ćƒ³ćƒ‘ć‚¤ćƒ©ęœ€é©åŒ–ć®å±é™ŗćŖé–¢äæ‚ć€ćć—ć¦ć‚³ćƒ³ćƒ‘ć‚¤ćƒ«å·„ēØ‹ćØć„ć†äø€ę®µę·±ć„ę¦‚åæµč¬›ē¾©ć‚’ć¾ćØć‚ć¦é…ē½®ć—ć€ćć‚Œć¾ć§ę›øć„ć¦ććŸć‚³ćƒ¼ćƒ‰ćŒć€ŒćŖćœå‹•ćć®ć‹ć€ć‚’åŽŸē†ć‹ć‚‰č…‘ć«č½ćØć—ć¾ć™ć€‚åÆ¾č±”ćÆć€ä»–čØ€čŖž(Python态Java态JavaScriptなど)ć®ēµŒéØ“ćŒć‚ć‚Šęœ¬ę ¼ēš„ć«C++ćøčøćæč¾¼ćæćŸć„ę–¹ć€å¤ć„C++(C++98/03)ć®ēŸ„č­˜ć‚’ćƒ¢ćƒ€ćƒ³C++ćøć‚¢ćƒƒćƒ—ćƒ‡ćƒ¼ćƒˆć—ćŸć„ē¾å½¹ć‚Øćƒ³ć‚øćƒ‹ć‚¢ć€ć‚²ćƒ¼ćƒ é–‹ē™ŗćƒ»ēµ„ćæč¾¼ćæćƒ»é«˜ę€§čƒ½čØˆē®—ćƒ»ć‚·ć‚¹ćƒ†ćƒ ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ć‚’ē›®ęŒ‡ć™å­¦ē”Ÿć‚„č»¢č·åøŒęœ›č€…ć§ć™ć€‚å‰ęēŸ„č­˜ćÆćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ć®åŸŗęœ¬ę¦‚åæµ(å¤‰ę•°ć€é–¢ę•°ć€ćƒ«ćƒ¼ćƒ—)ćØć€ć‚³ćƒžćƒ³ćƒ‰ćƒ©ć‚¤ćƒ³ć®åŸŗęœ¬ę“ä½œć®ćæć€‚ć‚³ćƒ¼ć‚¹äæ®äŗ†ę™‚ć«ćÆć€č‡ŖåŠ›ć§ćƒ¢ćƒ€ćƒ³C++ć®ć‚³ćƒ¼ćƒ‰ć‚’čØ­čØˆćƒ»å®Ÿč£…ćƒ»ćƒ‡ćƒćƒƒć‚°ć§ćć€ę‰€ęœ‰ęØ©ćØćƒ©ć‚¤ćƒ•ć‚æć‚¤ćƒ ć‚’ę„č­˜ć—ćŸå®‰å…Øć§é«˜é€ŸćŖć‚³ćƒ¼ćƒ‰ć‚’ę›øć‘ć‚‹ć‚ˆć†ć«ćŖć‚Šć¾ć™ć€‚ęœ¬ć‚³ćƒ¼ć‚¹ć®ē‰¹å¾“ćÆć€å˜ćŖć‚‹ę–‡ę³•č§£čŖ¬ć«ē•™ć¾ć‚‰ćšć€ŒćŖćœćć†ćŖć£ć¦ć„ć‚‹ć®ć‹ć€ćØć„ć†C++ē‰¹ęœ‰ć®čØ­čØˆåˆ¤ę–­ćØćƒˆćƒ¬ćƒ¼ćƒ‰ć‚Ŗćƒ•ć‚’ę—„ęœ¬čŖžć§äøåÆ§ć«č§£čŖ¬ć™ć‚‹ē‚¹ć«ć‚ć‚Šć¾ć™ć€‚ć‚³ćƒ³ćƒ‘ć‚¤ćƒ©ćŒć©ć†ęœ€é©åŒ–ć—ć€ćŖćœUBćŒå±é™ŗćŖć®ć‹ć€RAIIćŒć©ć†č³‡ęŗć‚’å®ˆć‚‹ć®ć‹ć€ćƒ ćƒ¼ćƒ–ćŒä½•ć‚’ćƒ ćƒ¼ćƒ–ć—ć¦ć„ć‚‹ć®ć‹ā€”ā€”č”Øé¢ć§ćÆćŖćåŽŸē†ć¾ć§é™ć‚Šć¦ē†č§£ć™ć‚‹ć“ćØć§ć€åæœē”ØćŒåˆ©ćęœ¬ē‰©ć®ć‚¹ć‚­ćƒ«ćŒčŗ«ć«ć¤ćć¾ć™ć€‚ä»Šć™ćå—č¬›ē™»éŒ²ć—ć¦ć€ē¾ä»£ć®C++ć‚Øćƒ³ć‚øćƒ‹ć‚¢ćøć®ē¬¬äø€ę­©ć‚’čøćæå‡ŗć—ć¾ć—ć‚‡ć†ć€‚Who this course is for:ä»–čØ€čŖžć®ēµŒéØ“ć‚’ę“»ć‹ć—ć¦ęœ¬ę ¼ēš„ć«C++ć‚’å­¦ć³ćŸć„ćƒ—ćƒ­ć‚°ćƒ©ćƒžćƒ¼å¤ć„C++ć®ēŸ„č­˜ć‚’ćƒ¢ćƒ€ćƒ³C++(C++11/14/17/20)ćøć‚¢ćƒƒćƒ—ćƒ‡ćƒ¼ćƒˆć—ćŸć„ē¾å½¹ć‚Øćƒ³ć‚øćƒ‹ć‚¢ć‚²ćƒ¼ćƒ é–‹ē™ŗćƒ»ēµ„ćæč¾¼ćæćƒ»é«˜ę€§čƒ½čØˆē®—ćƒ»ć‚·ć‚¹ćƒ†ćƒ ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ć‚’ē›®ęŒ‡ć™å­¦ē”Ÿć‚„č»¢č·åøŒęœ›č€…Rust悄GoćØęÆ”č¼ƒć—ćŖćŒć‚‰C++ć®čØ­čØˆę€ęƒ³ćØē«‹ć”ä½ē½®ć‚’ę·±ćē†č§£ć—ćŸć„ęŠ€č”“č€…é¢ęŽ„åÆ¾ē­–ć‚„ē«¶ęŠ€ćƒ—ćƒ­ć‚°ćƒ©ćƒŸćƒ³ć‚°ć®ćŸć‚ć«C++ć®ęœ¬č³Ŗć‚’ęŠ¼ć•ćˆćŸć„ę–¹

4.5
ProgLang MainSt.
COBOL Programming: From Hello World to Mainframe Mastery

COBOL Programming: From Hello World to Mainframe Mastery

šŸ’” Expert Insight: šŸš€ **Career Boost:** While often overlooked, COBOL skills are critical for maintaining the global financial and governmental infrastructure, creating a significant demand for new talent. This course equips students with a foundational, future-proof skillset, providing exceptional job security and the unique opportunity to work on systems powering billions of transactions daily.This course contains the use of artificial intelligence.COBOL is not a museum piece. It is the silent engine behind the world's largest banks, government benefit systems, insurance carriers, airline reservation platforms, and retail supply chains. Estimates put the active COBOL code base in the hundreds of billions of lines, and trillions of dollars move through it every single day. As the generation of engineers who built these systems retires, organizations are scrambling for developers who can read, maintain, and modernize the code that runs the actual economy. If you want a skill that is genuinely scarce, well-paid, and immune to hype cycles, COBOL is one of the smartest bets in software.This course is a complete, hands-on path from your first DISPLAY statement to writing production-style batch pipelines. It is organized into six sections, and each coding section opens with a short conceptual lecture that gives you the context and the "why" — the language's history, the mainframe ecosystem, its design tradeoffs — before dropping you straight into running code. You will work through the four divisions, fixed and free-form source, PICTURE clauses, edited fields, level numbers, USAGE COMP and COMP-3, arithmetic, IF, EVALUATE, PERFORM loops, paragraphs, tables with OCCURS, SEARCH, string handling with STRING and UNSTRING, and sequential file I/O. The advanced sections add the material real mainframe shops use every day: CALL and dynamic CALL, declaratives, indexed and relative files, object-oriented COBOL, embedded SQL against DB2 with cursors, the Report Writer, calling C, JSON GENERATE and JSON PARSE, and a capstone batch pipeline. The final section then closes with a focused run of deeper conceptual lectures that take you under the hood — WORKING-STORAGE memory layout, copybooks and the LINKAGE section, REDEFINES and memory overlays, the CICS and JCL execution contexts, classic patterns like control break and match-merge, and where COBOL is heading next — so the syntax you have already written finally clicks into a full mental model.This course is built for working developers, students, and career-changers who want a serious, modern introduction to COBOL. You should be comfortable using a terminal and have written code in at least one other language; no mainframe access is required because everything runs on the free GnuCOBOL compiler. By the end you will be able to read legacy COBOL with confidence, write new programs that handle data, files, errors, and databases, and speak credibly with mainframe teams in interviews and on the job.What sets this course apart is the balance of historical context, language depth, and modern practice. You will not just memorize syntax; you will understand why COBOL is shaped the way it is, where it fits in a hybrid cloud and Java or .NET architecture, and how to be productive in code bases that were started before you were born. Enroll now and add one of the most strategically valuable and underrated skills in software to your toolkit.Who this course is for:Software developers who want to add a rare, high-value language to their resumeCareer-changers targeting stable mainframe roles in banking, insurance, or governmentComputer science students curious about the language that runs the financial worldModernization engineers tasked with reading, refactoring, or replacing legacy COBOLTechnical leads and architects who need to evaluate COBOL systems for cloud migration

4.8
ProgLang MainSt.
šŸ¤–

Related AI Tools

šŸ“š

Premium Course Collection

Get access to 115+ premium paid courses collection with 8000+ videos and 3500+ files on Telegram

8000+ Videos & 3500+ Files
Web Dev, DSA, AI/ML & More
Top Instructors (Apna College, PW Skills)
Instructor:Marcus Menti
Duration:Self-paced
Language:English
Code:
Expires:May 11, 2026