IBM FREE Certification Courses

Free Certification Courses :-

🎓 𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝟮𝟬𝟮𝟲 🚀

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬

Want to learn in-demand tech skills from one of the world’s leading technology companies? 🌟

IBM is offering FREE online courses and digital credentials through IBM SkillsBuild, helping students and professionals gain job-ready skills in today’s most in-demand domains.

📚 Popular Learning Areas:
✅ Artificial Intelligence (AI)
✅ Data Analytics
✅ Data Science
✅ Cyber Security
✅ Cloud Computing
✅ Python Programming
✅ Software Development
✅ Project Management

🎯 Perfect For:
👨‍🎓 Students
💼 Freshers
📈 Working Professionals
🔄 Career Switchers

💡 Why Enroll?
✔️ Free Online Learning
✔️ Industry-Recognized Digital Credentials
✔️ Self-Paced Courses
✔️ Learn from IBM Experts
✔️ Boost Your Resume & LinkedIn Profile

🔥 Build future-ready skills and stand out in the job market with IBM certifications.

⏳ Enroll Now & Start Learning for FREE!

IBM Offering High Income Skills Free Courses to all (Students & Working Professional). As these courses are free of cost, all are welcome to grab this opportunity and learn as much as they can. Go through each one of the courses which are relevant to you. So, let’s start. The complete details about IBM FREE Certification Courses are as follows.

✅ Add value to your Resume and LinkedIn profile by Adding IBM Certification and Badges 🎖️🏅🥇

1) AI Prompt Engineering

In this quick Prompt Engineering course, you will gain invaluable insights into the art of talking effectively to AI. Whether proficient in English or prefer your native language, this course equips you with the knowledge and techniques necessary to essentially “program” AI. You’ll also become acquainted with watsonx’s powerful Prompt Lab tool.

By the end of this course, you’ll possess the expertise to leverage AI’s potential to its fullest, unlocking new realms of productivity and creativity. Start your journey toward mastering prompt engineering today!

Estimated Effort & Time: 5 Hours

Course Link:- Click Here To Start

2) Python for Data Science

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Upon its completion, you’ll be able to write your own Python scripts. If you want to learn Python from scratch, this course is for you.

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.

Upon its completion, you’ll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

Course Duration: 18 hours

Course Link:- Click Here To Start

3) SQL Relational Database

Are you ready to dive into the world of SQL and relational databases? In just a few hours, you’ll be able to discuss SQL basics and explain various aspects of the relational database model. Try our hands-on exercises as we guide your first steps into SQL and relational databases.

About This Course:

Data is one of the most critical assets of any business. Data needs a database to store and process data quickly. SQL is a language used for a database to query data.
In this introductory course, you’ll learn the basics of the SQL language and the relational databases. You’ll start by learning about the relational model and relational model concepts and constraints. By the end of this course, you will have learned and used the five basic SQL statements, some advanced SQL syntax, and join statements.
This isn’t your typical textbook introduction. You’re not just learning through lectures. At the end of each module there are assignments, hands-on exercises, review questions, and also a final exam. Successfully completing this course earns you a certificate. So let’s get started!

Course Duration: 3 hours

Course Link:- Click Here To Start

4) Data Science Fundamentals

About this Learning Path:

Want to learn Data Science? IBM recommend that you start with this learning path. Dust off your lab-coat and stretch out your fingers and get ready for the journey of a lifetime that will have you see the everyday through a new lens. L
ooking at mundane events becomes interesting from the speed of your windshield wipers wiping off the rain to the rate of plant growth in ditches along highways under different conditions. As the study that leads into all things pertinent to humans in present, this path is a must for all who have even the slightest interest in this field.
This learning path currently consists of one course that introduces you to Data Science from a practitioner point of view, to courses that discuss topics such as data compilation, preparation and modeling throughout the life-cycle of data science from basic concepts and methodologies to advanced algorithms. It also discusses how to get some practical knowledge with open source tools.

Course Link:- Click Here To Start

5) Introduction to cloud

This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives. You will also learn about cloud adoption and emerging technologies, cloud computing service and deployment models, different types of cloud storage, and emergent cloud trends.

About this Course:-

You will learn about the definition and essential characteristics of cloud computing, its history, emerging trends, and the business case for cloud computing.
You also learn about the various cloud service models (IaaS, PaaS, SaaS) and deployment models (Public Cloud, Private Cloud, Hybrid Cloud), the key components of a cloud architecture (Virtualization, VMs, Storage, Networking, Containers ), and Emergent Cloud Trends (Hybrid Multicloud, Serverless, Microservices, Cloud Native, Application Modernization).

Course Duration: 06 hours

Course Link:- Click Here To Start

📌All Courses are Beginner to Advanced level and you can complete learning paths with multiple subtopics 🎯

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