🧭 Course Introduction
This course, titled “Make AI Work for You,” is a professional program designed to help learners understand and practically apply Artificial Intelligence (AI) tools in daily work environments. Throughout this program, participants will gain practical knowledge on using Google AI tools such as Gemini, Gemini Live, and NotebookLM to enhance productivity, creativity, and decision-making in real-world scenarios.
This course is tailored for professionals, entrepreneurs, educators, and students who want to learn how to integrate AI effectively into their business, studies, and workplace communication. By the end of the program, learners will possess the ability to harness AI tools confidently to streamline workflows and boost efficiency.
Course Presenter:
This course is presented by Google Career Certificates, a globally recognized educational platform by Google, known for producing industry-standard digital skills programs. The Google instructors use a hands-on, example-driven teaching style that focuses on real-world applications. Their engaging approach combines theory with practical case studies to ensure learners can directly implement AI strategies in their professional settings.
Course Certificate:
The Qalam Scholar Certificate for this course is internationally recognized and features barcode verification to ensure authenticity. This certification validates your ability to apply AI tools in real-world contexts and enhances your professional profile for both national and international job opportunities.
🎯 Learning Objectives:
By the end of this course, students will be able to:
· Understand the fundamentals of Artificial Intelligence and its role in modern business.
· Utilize Google’s Gemini and NotebookLM tools for content creation and data analysis.
· Automate and optimize routine work tasks using AI-powered solutions.
· Develop marketing, communication, and financial reports with AI assistance.
· Integrate AI tools into project workflows for higher productivity and accuracy.
· Apply creative problem-solving strategies using generative AI tools.
Course Introduction:
This course, titled AI Agents for Beginners, is a comprehensive and practice-oriented program designed to introduce learners to the fundamentals of building, designing, and deploying AI agents. Throughout the course, students will explore how AI agents work, how they interact with environments, and how to implement them using modern frameworks The program combines conceptual learning and hands-on development to ensure participants understand both the theory and application of agent-based systems. It is tailored for students, developers, and professionals who want to build a solid foundation in artificial intelligence through real-world examples and interactive projects.
Course Presenter:
The course is presented by Career Certificate, an educational organization specializing in practical, industry-recognized online programs Career Certificate courses are known for their clear explanations, structured learning flow, and hands-on exercises that enable students to quickly transition from learning to building real-world AI applications.
Course Certificate:
The Qalam Scholar Certificate awarded for this course carries international recognition and is barcode-verifiable for authenticity This certification enhances professional credibility and supports learners in pursuing national and international career opportunities in data science, AI, and software development.
Learning Objectives:
By the end of this course, students will be able to:
· Understand the foundational concepts and structure of AI agents.
· Identify and use appropriate agent frameworks for specific tasks.
· Design intelligent agents that can plan, learn, and adapt in dynamic environments.
· Apply agentic design patterns such as RAG and tool-use frameworks.
· Build, test, and deploy multi-agent systems in production environments.
· Evaluate the performance and ethical implications of autonomous AI systems.
🎓 Course Introduction:
This course, titled “Machine Learning for Beginners,” is a comprehensive program designed to introduce learners to the core concepts, principles, and tools of classical machine learning (ML). Throughout the course, students will explore foundational topics such as linear regression, logistic regression, data cleaning, visualization, and model evaluation using real-world examples and practical exercises. The course is tailored for students, professionals, and enthusiasts who wish to build a solid foundation in machine learning and apply analytical thinking to solve complex data problems. With step-by-step tutorials and guided coding sessions, learners will gain both theoretical understanding and hands-on experience in ML model development.
👨🏫 Course Presenter:
The course is presented by Career Certificate (Microsoft Developer), a trusted name in digital education and professional certification. With a proven record in technology training, the presenter combines clarity, practical coding demonstrations, and an interactive teaching style to ensure that even complete beginners can follow along easily. Their engaging instructional videos and structured learning path enable students to progress from basic concepts to implementing their own models using Python and libraries such as Scikit-Learn, NumPy, Pandas, and Matplotlib.
🏅 Course Certificate:
The Qalam Scholar Certificate offered upon completion of this course holds international recognition and features a unique barcode for verification.
This certificate validates your skills in machine learning and strengthens your credibility in both academic and professional environments. It supports your journey toward national and international career advancement in data science, AI, and analytics.
🎯 Learning Objectives:
By the end of this course, students will be able to:
· Understand the fundamental principles of classical machine learning.
· Differentiate between supervised and unsupervised learning techniques.
· Build, train, and evaluate linear and logistic regression models using Scikit-Learn.
· Analyze and visualize datasets using NumPy, Pandas, and Matplotlib.
· Prepare and clean datasets for ML modeling.
· Apply machine learning concepts to solve real-world prediction and classification problems.
Course Introduction
This course, titled Google Prompting Essentials, is a comprehensive program designed to help learners master the art of writing effective prompts for Google-powered AI tools. Throughout the course, students will learn how to design prompts, refine instructions, summarize documents, enhance creativity, and boost productivity using Google’s Gen AI technologies.
It is tailored for students, professionals, and lifelong learners who want to build a strong foundation in AI-assisted productivity and unlock the full potential of prompt engineering in real-world tasks.
👨🏫 Course Presenter
The course is presented by the Google Career Certificates Team, who have extensive experience in AI applications, digital transformation, and workforce skills training.
They are known for their practical teaching style, structured frameworks, and global recognition in digital learning.
🎓 Course Certificate
The Qalam Scholar Certificate awarded upon completion has international recognition and can be verified through a secure barcode.
This certificate enhances your credibility in AI-related skills and supports your career growth at both national and international levels.
🎯 Learning Objectives
By the end of this course, students will be able to:
· ✅ Write clear and effective prompts for Google’s AI tools
· ✅ Apply the 5-step prompt framework in practical scenarios
· ✅ Use AI to summarize documents and take structured notes
· ✅ Enhance workplace productivity with AI-powered email and writing tools
· ✅ Collaborate with AI as a creative or expert partner
· ✅ Develop professional-level prompting strategies for diverse work tasks
🎯 Course Introduction:
This course, titled Generative AI for Beginners, is a comprehensive learning program designed to introduce learners to the fundamentals of Generative Artificial Intelligence (AI) and Large Language Models (LLMs). Throughout this 18-lesson journey, participants will explore how generative models function, understand prompt engineering, and learn how to build real-world AI applications for text, image, and chat systems. It is tailored for students, developers, and professionals who wish to build a strong foundation in AI development and understand how to implement responsible and creative AI solutions using modern tools and frameworks.
👨🏫 Course Presenter:
The course is presented by Microsoft Cloud Advocates, highly skilled experts in cloud computing, AI model development, and software engineering education Their teaching style blends conceptual clarity with hands-on demonstrations, making complex AI topics accessible and engaging for all learners. The presenters emphasize practical learning, ensuring that every concept is connected to real-world AI use cases.
🎓 Course Certificate:
The Qalam Scholar Certificate awarded for this program carries international recognition and includes barcode verification for authenticity This certificate enhances your professional credibility and strengthens your prospects in national and international AI-related career opportunities.
🧩 Learning Objectives:
By the end of this course, students will be able to:
· Understand the core concepts of Generative AI and LLMs.
· Apply prompt engineering techniques for effective AI interactions.
· Build text, chat, and image generation applications using generative models.
· Integrate AI models into low-code or no-code environments.
· Design secure and user-friendly AI applications with ethical awareness.
· Explain the AI application lifecycle from ideation to deployment.