Generative AI in Practice: Models, Tools and Applications
Generative AI: LifeCycle, Models, Datasets, Deployment, Hardware, Tools and Monitoring for Real-World Applications
- 💻 Udemy Course
- Course Instructor: Md Abdullah Al Mamun
- Category: Artificial Intelligence
- Sub Category: Generative AI
- Child Category: GenAI
- Last updated: 04/2026
- Language: English
| Course Style Plan | ||||
|---|---|---|---|---|
| 🎬 Course Mode | ⏰ Daily Spend | 🗓️ Weekly Schedule | 📊 Total Class | ⏳ Course Duration |
| 💻Udemy Course | 1 Hours | Mon, Wed, Sat | 2 | 2 Hours |
Generative AI in Practice: Models, Tools and Applications
Generative AI: LifeCycle, Models, Datasets, Deployment, Hardware, Tools and Monitoring for Real-World Applications
Course Requirements
- 💻 Basic Computer Knowledge: Familiarity with using a computer, installing software, and browsing the internet.
- 🧠 Basic Programming Understanding (Optional but Helpful): Knowledge of any programming language (like Python) will be beneficial.
- ⚙️ Laptop / PC Configuration: Minimum 8GB RAM (recommended), SSD storage, and a modern processor for smooth development.
- 🌐 Internet Connection: Stable internet connection for downloading tools, dependencies, and accessing resources.
- 🧑💻 Software Installation: Ability to install tools like Ollama, or VS Code.
- 📱 Android Device (Optional): A physical Android phone for real-device to check the video tutorial.
- 🧩 Google Account: Required for accessing Google services .
- 🔥 Willingness to Learn & Practice: Dedication to coding, debugging, and building real-world projects.
Course Details
Generative AI Masterclass: Build Real-World AI Systems
Generative AI is transforming how software is built, how content is created, and how businesses operate. From large language models and image generation to AI agents and multimodal systems, Generative AI is becoming a core technology skill for modern developers and professionals.
This course provides a complete, practical, and industry-aligned guide to Generative AI, covering everything from core concepts to production-ready system design. You will learn not just what Generative AI is, but how it works, how it is built, and how it is deployed in real-world applications.
No prior AI experience is required. The course starts with clear foundations and gradually moves into real development workflows, tools, and architectures used in modern GenAI systems.
What You’ll Learn
- How Generative AI works, including model architectures and generation pipelines
- Differences between Generative AI and Traditional AI systems
- End-to-end Generative AI development lifecycle for real-world applications
- How to choose the right models, datasets, and platforms
- Prompt engineering, architecture design, and workflow orchestration
- Building production-ready Generative AI systems
- Evaluation, monitoring, security, and ethical AI practices
- Exploring real Generative AI project source code
Course Highlights
- Beginner-friendly with no AI prerequisites
- Covers the entire GenAI ecosystem, not just models
- Focus on real-world systems, not toy examples
- Industry-relevant tools and platforms
- Designed for 2026 and beyond
Course Content Overview
- Foundations of Generative AI: Understand what Generative AI is, how it works, model types, challenges, responsibilities, and future trends.
- Generative AI Development Lifecycle: Learn how real GenAI systems are planned, built, deployed, monitored, and continuously improved.
- AI Models & Model Hubs: Explore leading AI model platforms including open-source and cloud-based models.
- Datasets for Generative AI: Discover trusted dataset platforms for text, image, audio, and video-based AI projects.
- Production-Ready Generative AI: Learn essential factors such as scalability, cost optimization, evaluation, security, and governance.
- Development Environments & Tools: Use free cloud environments, IDEs, and professional tooling for GenAI development.
- Applications & Technology Stack: Understand how GenAI powers LLMs, computer vision, audio, video, multimodal AI, and agents.
- Monitoring & Observability: Track performance, quality, hallucinations, cost, and reliability in production systems.
- Real-World Project Source Code: Explore and learn from real Generative AI projects from GitHub, Hugging Face, Kaggle, and more.
Who This Course Is For
- Developers and engineers building AI-powered applications
- Students and beginners entering the Generative AI field
- Data scientists and ML practitioners expanding into GenAI
- Professionals and founders wanting practical GenAI knowledge
Why Take This Course?
Generative AI is not a future trend—it is already shaping the present. This course equips you with practical understanding, real-world workflows, and future-ready skills to confidently work with Generative AI systems.
Start your Generative AI journey today and learn how modern AI systems are designed, built, deployed, and scaled in the real world.
Course content
3 sections • 15 lectures • 01h 57m total length
1. Introduction
2. Exploring of Generative Artificial Intelligence(GenAI)
3. Congratulations
What you'll learn?
-
Understand how Generative AI works, including models, architectures, and generation pipelines used in modern AI systems.
-
Design and execute an end-to-end Generative AI development lifecycle from problem definition to deployment and monitorin...
-
Select the right AI models, datasets, tools, and platforms for building real-world Generative AI applications.
-
Explore and apply real Generative AI 100+ project source code to accelerate learning and real-world implementation.
-
Build production-ready Generative AI systems with evaluation, security, scalability, cost optimization, and ethical prac...
What will be included in this course?
24/7 Support
Get 24/7 access to all course materials anytime, anywhere.
Downloadable Resources
Explore and download valuable learning materials here.
Certificate of Completion
Awarded Certificate of Completion for excellence.
Lifetime Access
Enjoy lifetime access with easy accessibility now.
Mobile & TV Access
Access learning anytime on mobile, TV, and web.
Progress Tracking
Track your learning progress and achievements easily.
Hands-on Projects
Build real-world projects to strengthen your skills.
Community Support
Join discussions and get help from peers and experts.
Frequently Asked Question
FEATURE RATINGS
Iqra Mushtaq
ITS GOOD TO LEARN
Emily
Very practical and up-to-date content.
mamun bd
Fantastic course! It breaks down complex generative AI topics into digestible lessons.
Daniel
This course makes Generative AI simple and practical with real-world examples and clear explanations.
David
Great balance between theory and practice. I now understand how to apply Generative AI in real projects.
Matthew
Very well-structured and easy to follow. The hands-on examples made complex concepts simple.
William
Excellent practical course! It clearly explains models, tools, and real-world applications of Generative AI.
John
Very comprehensive and practical. Great for anyone serious about production-ready AI systems.
Robert
Excellent deep dive into the full Generative AI lifecycle!
Michael
Perfect for beginners who want practical experience. I especially enjoyed building real applications instead of just learning theory.
TechnTuts
Excellent beginner-friendly course!
James
This course provides a clear, hands-on introduction to generative AI.
Elena Acemé
MB
Michael Robert Thompson
I loved how this course focuses on real-world applications instead of just theory. It helped me understand how Generative AI is actually used in industry.
Daniel Andrew Hughes
Great learning experience! The content is well organized, easy to follow, and packed with practical insights into modern Generative AI tools and models.
Oliver Thomas Bennett
An outstanding course for beginners and professionals alike. It provides a solid foundation in Generative AI while also covering practical tools and applications.
James William Carter
This course strikes the perfect balance between theory and practice. I now have a clear understanding of generative models and how to apply them using modern tools.
Newsletter
An excellent course that explains Generative AI concepts in a very practical and easy-to-understand way. The hands-on examples and real-world applications make it incredibly valuable.
Robiul
Useful and accessible GenAI course that taught me end-to-end workflows without prior AI experience.
Anif
Loved the focus on real world applications and tools — super helpful for practical understanding.
Arif Khan
Instructor explains complex topics in simple terms; great for developers new to generative AI.
Kokon
Compact but rich course covering essential generative AI topics with real code examples and tool explanations.
Cawser
Practical insights into model selection, prompt engineering, and deployment that boosted my confidence.
Mizan
Well structured generative AI introduction that balances concepts and practice without overwhelming beginners.
Gaffar
Very informative content with real project references; perfect for learning GenAI pipelines and tools quickly.
Masud
Great starter course — concise videos, solid explanations, and useful examples of modern AI workflows.
Mahatir Abir
Excellent coverage of real world GenAI systems, from models to deployment, explained simply for beginners and developers alike.
Farok khan
Practical, clear introduction to generative AI fundamentals with real tools and workflows for beginners. Very hands-on and engaging.
Theo Ciprian Platica
The way the presenter speaks is not good at all.
Jashim
Ideal for developers and beginners, this course builds confidence in using models, datasets, and real workflows
Uzzal
Concise yet comprehensive — covers everything from fundamentals to scalable generative AI systems and monitoring.
Kalil Ka
Great overview of tools and ecosystems, with real code examples and deployment guidance worth the time.
Joncina Rot
Instructor communicates complex ideas simply, making it easy to build and deploy generative AI applications.
Jakir
Highly practical course with solid explanations of architectures, pipelines, and lifecycles used in modern generative AI.
Sanjida
Informative and engaging — learned how to choose models, tools, and platforms confidently for real AI projects.
Mojgilla
Excellent balance of theory and practice, covering prompt engineering, monitoring, and deployment for production-ready AI systems.
Dela
Well-organized content explaining models, datasets, and workflows, making AI systems understandable and actionable for builders.
Sabuj
Great introduction to generative AI fundamentals with hands-on examples and tool insights — very practical for real applications.
Kajam
Fantastic course covering real-world generative AI models, tools, and deployment lifecycle — clear, practical, and perfect for beginners and professionals.
Razzak
Concise but packed with real examples, essential for anyone wanting to understand generative AI production workflows
Sakil
Well organized modules on development lifecycle and tool ecosystems helped me build confidence in GenAI projects.
Bappi Lahiri
Engaging content, feels relevant for 2026, good balance of theory and practical deployment guidance.
Hossain
Great introduction to generative AI with real application insights, suitable for beginners and professionals alike.
Tarfgn
Very informative course with strong emphasis on model selection, datasets, and practical GenAI system implementation.
Mojan
Loved the focus on real-world use cases and tools like prompt engineering, monitoring, and scalable deployment strategies.
Groer
Comprehensive yet concise, covers workflows, models, datasets, and tools every practitioner should know for real AI projects.
Riyad
Instructor explained complex topics simply, perfect for developers new to GenAI and wanting hands-on project insights.
Sintea
Clear explanations, great pace, and detailed insights into deployment, lifecycle, and monitoring of GenAI systems with real examples.
Latun kja
Excellent overview of generative AI models and tools, very beginner friendly and practical for real-world applications, well structured content.
Abir
Great overview of generative AI techniques, tools, and workflows. Ideal for learners seeking practical understanding and project readiness.
Baisal
Very practical course focusing on real applications. Instructor explains concepts clearly and offers useful demonstrations. Worth the time and effort.
Dafolan
Clear, concise lessons with real use cases. I learned valuable generative AI techniques and tools. Highly recommended for beginners and intermediate learners.
Jonson
Excellent introduction to generative AI models and tools. Well structured, engaging lessons that build confidence and practical skills quickly.
Sojana
Informative course with clear explanations, practical tools, and real examples. Great for beginners wanting hands-on generative AI learning and projects.
Smith
Well organized and insightful course with current tools and techniques. I loved the practical focus and explanations. Perfect for building foundational AI skills and applying them in real projects.
Lal ka
This course exceeded my expectations! Detailed explanations, real-world applications, and practical exercises. I now understand generative AI models and how to use them effectively. Highly valuable for career growth.
Sohoz
Fantastic introduction to generative AI models and tools. The instructor explains complex ideas simply, and the hands-on examples made learning fun. I feel prepared for more advanced AI work.
Jamol Ka
Excellent course that covers everything from basic concepts to advanced applications. The demos were clear and the projects useful. I’m applying what I learned directly in my job. Fantastic content!
Homaun
Very useful course for beginners and intermediate learners. Concepts are clearly explained, and practical exercises helped cement understanding. Worth the time for anyone wanting to apply generative AI.
Dakal
Comprehensive and clear! I appreciated how the course balanced theory with practice. Examples were relevant and tools were explained thoroughly. It’s a great foundation for further AI exploration.
Lalon
Extremely informative and well paced. The course covers essential models, tools, and hands-on tasks. I learned how to build practical AI projects and gained confidence applying new techniques immediately.
Kjaol
Great course for anyone curious about generative AI! The instructor breaks down complex topics into understandable steps. I especially liked the tool demos and real-world application sections. Highly recommended.
Khairul
This course delivers high-value insights into generative AI models and applications. Lessons are engaging, relevant, and full of real use cases. I feel much more confident exploring AI tools now.
Frokon
A practical, well-structured course that demystifies generative AI. Real examples, clear explanations, and excellent tools coverage. Perfect for beginners and intermediate learners wanting hands-on growth in AI workflows.
newsletter coldcofe
Excellent course that bridges theory and real-world practice perfectly.
Rabbi
Well organized with clear roadmap from basics to advanced topics. More coding walkthroughs would boost learning significantly.
Afsana
Great clarity on selecting models and datasets for real applications. Practical but occasionally repetitive and lacks guided labs.
Firoza Kanom
Covers essential generative AI workflows and tools. Good pace for beginners, though a few topics deserve deeper explanation and more examples
Monir khan
Excellent introduction to AI systems design and lifecycle. Useful project references but not enough real coding exercises for advanced learners.
Sakib
Practical overview of generative AI basics and tools, ideal for beginners. Covers real workflows but could use more hands-on coding. Great foundation for further learning.
Shohom Soptom
Comprehensive primer on generative AI practices. I enjoyed learning about datasets and security considerations. Not ultra-deep, but perfect for building confidence in GenAI basics.
Misba
Engaging intro to GenAI with a focus on real tools and system design. Some outdated references, but overall useful for foundational skills and practical insights.
Shohel Khan
Beginners will find this a solid intro to generative AI. The course covers essential tools and deployment concepts well. Wish there were more step-by-step coding tasks.
Mohon Goss
I liked the balance of theory and practice. Explains how to choose models and build workflows. Projects are helpful, though interactions are mostly lecture-based.
Mokly lal
Informative and beginner-friendly, especially on model architectures and tool selection. Practical examples helped clarify real use cases. Some parts seemed too high-level, needing deeper practical labs.
Shohel Soyli
This course delivers a broad look at generative AI development lifecycle. Useful explanations and good pace. More coding demos would improve it, but overall a worthwhile learning experience.
Mical Jon
Great for newcomers with little AI experience. Lectures explain complex topics simply. I appreciated insights into monitoring and ethical aspects of AI. A few areas felt brief, but still very informative.
Rokal
Excellent overview of GenAI models and tools. The focus on real projects and practical pipelines helped me understand how to build and deploy AI systems. Worth the time for beginners.
Smith
Well-structured and easy to follow. Lessons progressively build understanding from basics to real application practices. Some sections could use more hands-on exercises, but the overall guidance is valuable for aspiring AI practitioners.
Mical
Clear, practical course covering generative AI fundamentals, tools, and real-world workflows. Great for beginners to grasp essential concepts and model selection, with helpful project examples. A solid introduction to AI systems design and deployment.
ai ColdCofe
This course explains Generative AI in a very clear and structured way. Highly recommended for beginners.
AminulActer
Nice Tutorial for beginning Generative AI Journey
Matiur Rahman Minar
Thanks. Beautiful course for getting a simple comprehensive overview on GenAI.
Tech AlgoVision
This course delivers great insights into models, tools, and real use cases of Generative AI. Simple, practical, and extremely valuable.
prezi sora
A very well-structured course that bridges theory and real-world applications of Generative AI. Highly recommended for anyone wanting practical skills.
Alpha Reaction
Excellent course with clear explanations and practical examples of Generative AI. The hands-on approach makes complex concepts easy to understand.
WEB ROCK
This course is an excellent, end-to-end guide to Generative AI in real-world practice. Highly recommended for both professionals and learners who want practical, industry-relevant knowledge.
BDApp Star
Excellent course and nicely explain the Generative AI with real world focus 🌟
moonmoon chowdhury
Very well organized and beginners friendly 👌 👏 👍
Unishop BD
Excellent course with high-quality explanations and a strong real-world focus. It helped me understand how Generative AI works end to end, not just how to use tools.
Cold Cofe
This course provides a clear, structured, and practical approach to Generative AI. The explanations of models, tools, and real-world applications are excellent and easy to follow.
Professional software engineer with 12+ years of experience leading end-to-end application development with project delivery. Results-driven Generative AI & Data Science Engineer with 8+ years of experience delivering enterprise-scale software and AI solutions across fintech, telecom, and education domains. Strong expertise in Python, machine learning, GenAI frameworks, and DevSecOps, with hands-on experience in model fine-tuning, NLP pipelines, vector databases, and cloud platforms. Proven leader in building secure, scalable systems, translating data into business insights, and driving end-to-end AI projects from design to deployment.

