FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/SAP-CO : Joint Production (Co-Products & By-Product)
SAP-CO : Joint Production (Co-Products & By-Product)
IT & Software100% OFF

SAP-CO : Joint Production (Co-Products & By-Product)

Udemy Instructor
4.571429(1.0K students)
Self-paced
All Levels

About this course

Language - Urdu/HindiThis Course Consists of three main scenarios related to Joint Production (Co-Products & By-Product)Process Flow are given belowIntroduction1) Introduction to Joint Production (CO-Product & BY-Product)Scenario 01 : Joint Product - CO Product1) Configuration Of First Scenario2) Create Material - Raw Material, Finished Goods & CO-Products3) Create BOM4) Create Routing & Production Version5) Apportionment Structure6) Create Cost Estimate7) Raw Material Stock In8) Create Production Order of Main FG Material9) Actual Cost On Order - Raw Material Issue – Activity Confirmation10) Finished Goods & CO-Product Recieved Against Production Order11) Costing Sheet & Template Allocation - Actualization12) Settlement For CO-Product13) Calculate Variance14) Execute SettlementScenario 02 : Joint Product - BY Product1) GL Creation & Configuration Of Second Scenario2) Create Material - Finished Goods & BY-Product3) Create BOM, Routing & Production Version4) Maintain Standard Cost Of Raw Material5) Execute Cost Estimate6) Create Production Order of Main FG Material7) Raw Material Issue, Activity Confirmation - FG & BY-Product Goods Recieved8) Costing Sheet & Template Allocation - Actualization9) Variance Calculation & Settlement ExecuteScenario 03 : Joint Product - CO Product & BY Product1) Create Material - Finished Goods2) Create BOM, Routing & Production Version3) Create Apportionment Structure4) Execute Cost Estimate5) Create Production Order of Main FG Material6) RM Issue | AT Confirm | FG , CO & BY Product GR | Actualization Of Costing Sheet & Template Allocation7) Variance Calculation & Settlement ExecuteMaterial Ledger - All Scenarios1) Material Ledger Actual Costing Run & Its Impact on Joint ProductsT-Codes:FS00 MM01 , MM02 CS01 CA01 CK11N / CK24 / CK40N MR21 CO01 MIGO CO11N KGI2 CPTA CO8B KKS2 KO88 ReportsCKMLCP CKM3N KKBC_ORD MB5B MMBE

Skills you'll gain

Other IT & SoftwareUrdu

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • πŸ“ΉVideo lectures
  • πŸ“„Downloadable resources
  • πŸ“±Mobile & desktop access
  • πŸŽ“Certificate of completion
  • ♾️Lifetime access
$0$97.99

Save $97.99 today!

Enroll Now - Free

Redirects to Udemy β€’ Limited free enrollments

Share this course

https://freecourse.io/courses/joint-production-co-products-by-product

You May Also Like

Explore more courses similar to this one

Complete Jev AI & TypeSafe AI Course: Beginner to Advanced
IT & Software
0% OFF

Complete Jev AI & TypeSafe AI Course: Beginner to Advanced

Udemy Instructor

This course covers the practical use of artificial intelligence.Welcome to the Complete Jev AI & TypeSafe AI Course: Beginner to Advanced.Jev introduces a new approach to artificial intelligence. Instead of focusing on unrestricted text generation, Jev is a System One AI model designed for fast, structured and probabilistic decisions that software can use directly.In this course, you will learn the fundamentals of Jev AI, TypeSafe AI and System One Models and progressively build real applications using typed decisions, AI agents, RAG, guardrails, intelligent routing, automation and hybrid AI systems.The course combines theory, demonstrations, hands-on coding and complete projects.What You Will LearnYou will understand how Jev differs from traditional LLMs, rules, embeddings and machine learning, and when each approach makes sense.You will work with Jev's main decision primitives:Noul β€” binary decisions with probabilityChoice β€” classification and option selectionScore β€” ranking, severity and structured evaluationYou will also learn how to design better AI decisions using state, questions, criteria, probability, confidence thresholds and Decision Engineering.Jev API and DevelopmentYou will integrate Jev into real applications using:cURLPythonJavaScriptTypeScriptJev APIYou will learn how to handle requests, responses, API keys, environment variables, errors and reusable integrations.Jev + LLMs and AI AgentsJev does not need to replace models such as ChatGPT, Claude or Gemini.You will learn how to combine System One AI with LLMs to build hybrid architectures for:LLM routingmodel selectionconfidence-based decisionshuman fallbackcost and latency optimizationoutput verificationYou will also explore Jev inside AI agent architectures, including tool selection, skill routing, risk detection, guardrails, action verification and human escalation.The course also covers integrations and use cases involving Claude Code, Codex and Cursor.RAG, Search and GuardrailsLearn how Jev can improve Retrieval-Augmented Generation (RAG) through relevance evaluation, filtering, re-ranking, citation checking and context selection.You will also explore moderation, AI guardrails, structured verification and safer automated workflows.Real Jev AI ProjectsYou will build complete projects, including:Smart Customer Support TriageClassify intent, urgency, frustration and cancellation risk.Intelligent AI Model RouterRoute requests between AI models based on complexity, type and risk.Safe AI Agent HarnessCombine intent detection, model selection, tool routing, risk checks, verification and human fallback.Reliability and ProductionYou will also learn how to evaluate and improve Jev systems using:accuracy and calibrationconfidence thresholdsevaluation datasetsregression testingfailure analysismonitoringfallbacksprivacymodel versioningproduction reliabilityWho Is This Course For?This course is designed for developers, AI enthusiasts, entrepreneurs, automation professionals and anyone interested in modern AI systems.You do not need to be an AI expert. We start with the fundamentals and progressively move toward advanced integrations and real-world architectures.By the end of the course, you will understand how to use Jev AI, System One AI, typed decisions, AI agents, RAG and hybrid AI architectures to build structured and reliable AI-powered applications.

5.0β€’1β€’Self-paced
FREE$96.99
Enroll
Prompt Engineering: ChatGPT, Claude & Gemini (2026)
IT & Software
0% OFF

Prompt Engineering: ChatGPT, Claude & Gemini (2026)

Udemy Instructor

This course contains the use of artificial intelligence.This course contains the use of artificial intelligence. AI tools were used to help with research, structuring content, and drafting portions of the written material and voice-over. All content was reviewed, edited, and verified by the instructor before publishing.Most people use ChatGPT, Claude, and Gemini at a fraction of their true potential β€” not because the AI ​​is weak, but because the prompt is vague.This course teaches you prompt engineering as a transferable skill, not a collection of tricks tied to one tool. You'll learn exactly how language models process your instructions, how to structure any prompt so nothing important gets lost, how to make the model reason step-by-step instead of guessing, how to control tone and format, how to catch and reduce hallucinations, and how to build a personal library of prompts that you can reuse for the rest of your work.What you will learn:How large language models actually process your promptsThe 5-part structure behind any great prompt (role, context, task, format, constraints)When to use examples (few-shot prompting) vs. plain instructions (zero-shot prompting)How to trigger precise step-by-step reasoning for complex tasksHow to set persistent behavior with system prompts and personasSpecific techniques for writing, summarizing, analyzing, and coding tasksHow to get reliable structured output (JSON, tables, templates)How to recognize and reduce AI hallucinationsHow to quickly troubleshoot a disappointing AI responseHow to chain prompts together for complex, multi-step workWhat's different (and what's the same) between ChatGPT, Claude, and GeminiHow to build your own library of reusable prompt templatesWho this course is for:Marketing, sales, HR, or finance professionals who want better results from artificial intelligence, fasterAbsolute beginners who use ChatGPT or Claude but want to take the guesswork out of itFreelancers and entrepreneurs who want to automate repetitive work with the help of artificial intelligenceStudents and job seekers who want a genuinely sought-after skill on their CVRequirements:No programming experience requiredNo prior experience in artificial intelligence requiredAccess to any AI-based chat tool (ChatGPT, Claude, Gemini β€” free tiers work perfectly)

0.0β€’229β€’Self-paced
FREE$93.99
Enroll
Software Testing Concepts + 500 Practice Questions (2026)
IT & Software
0% OFF

Software Testing Concepts + 500 Practice Questions (2026)

Yogesh Dhiman

Are you ready to build a strong foundation in Software Testing Concepts and boost your confidence for any testing exam or interview? This course, Software Testing Concepts + 500 Practice Questions (2026), is designed to help you master manual testing principles, processes, and terminology from scratch.To strengthen your understanding, this course includes 500 carefully designed practice questions covering all major manual testing concepts. These questions are perfect for students preparing for ISTQB, QA certifications, or job interviews, ensuring you understand both the fundamentals and practical applications.This comprehensive Software Testing course provides participants with the knowledge and skills needed to ensure software applications are robust, efficient, and free from critical errors. Designed for beginners and professionals alike, the course covers the fundamental principles of software testing, test planning, and the execution of various testing techniques.You will learn how to identify and address potential bugs in applications, as well as the best practices for validating software functionality. Topics include test case design, automated testing, performance testing, regression testing, and user acceptance testing. Participants will also be introduced to basic automation testing concepts.Throughout the course, you'll gain hands-on experience through real-world projects and case studies, ensuring you're prepared to handle the challenges of a software testing role. By the end of the course, you will have the practical expertise to conduct efficient testing cycles and ensure the delivery of high-quality software products.Key Highlights:Understanding of software testing life cycle and methodologies.Proficiency in manual and automated testing techniques.Expertise in test design and test management.Familiarity with industry-standard testing tools and environments.Practical experience through exercises and real-world case studies.By the end of this course, you will be confident in your testing knowledge, terminology, and process understanding β€” ready to crack any testing-related exam or interview.Whether you're looking to break into the field of quality assurance or enhance your existing skills, this course will equip you with the tools necessary to excel in software testing.

4.6β€’5.7Kβ€’Self-paced
FREE$91.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

Β© 2026 FreeCourse. All rights reserved.