Generative AI Mastery: Models, Tools, Real-World Applications & Career Roadmap
Learn Generative AI from fundamentals to real-world applications, tools, and a complete roadmap to become an AI engineer.
🏷️
GenerativeAI
Artificial_Intelligence
Machine_Learning
LLMs
AITools
AIApplications
DeepLearning
Transformers
0.0
(0 ratings)
•
4 students
- ▶️ Recorded Course
- Course Instructor: Md Abdullah Al Mamun
- Category: Artificial Intelligence
- Sub Category: Generative AI
- Child Category: GenAI
- Last updated: 05/2026
- Language: English
| Course Style Plan | ||||
|---|---|---|---|---|
| 🎬 Course Mode | ⏰ Daily Spend | 🗓️ Weekly Schedule | 📊 Total Class | ⏳ Course Duration |
| ▶️Recorded Course | 1 Hours | Mon, Wed, Sat | 1 | 1 Hours |
Generative AI Mastery: Models, Tools, Real-World Applications & Career Roadmap
Artificial Intelligence
>
Generative AI
>
GenAI
GenerativeAI
Artificial_Intelligence
Machine_Learning
LLMs
AITools
AIApplications
DeepLearning
Transformers
Learn Generative AI from fundamentals to real-world applications, tools, and a complete roadmap to become an AI engineer.
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 C, Java, or JavaScript) 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 Flutter SDK, Android Studio, or VS Code.
- 📱 Android Device (Optional): A physical Android phone for real-device testing (emulator can also be used).
- 🧩 Google Account: Required for accessing Google services and publishing apps on Play Store.
- 🔥 Willingness to Learn & Practice: Dedication to coding, debugging, and building real-world projects.
Course Details
This course is a comprehensive guide to mastering Generative AI, designed for beginners and aspiring AI engineers who want to understand both the theory and real-world applications of modern AI systems.
You’ll start with a strong foundation by exploring what Generative AI is, how it works, and its future potential across industries. Then, you’ll dive deep into different types of generative models and architectures, understanding how systems like transformers, diffusion models, and large language models operate.
The course also introduces you to the most frequently used keywords and concepts in real-world AI development—helping you speak and understand the language of modern AI.
Next, you’ll explore top platforms and tools where you can learn and build Generative AI projects with real source code. You’ll also discover the most impactful real-world applications of Generative AI in 2026, including content generation, automation, coding assistance, and more.
A key highlight of this course is the step-by-step roadmap to becoming a Generative AI engineer—from beginner to professional level—along with hands-on demos of the most powerful AI tools shaping the future.
By the end of this course, you will:
- Understand core concepts and future vision of Generative AI
- Learn different model types and architectures
- Master key AI terminologies used in real-world projects
- Explore top platforms and tools for AI development
- Identify real-world use cases of Generative AI
- Follow a clear roadmap to become a Generative AI engineer
- Gain exposure to modern AI tools through practical demos
This course is perfect for students, developers, and professionals who want to enter the field of AI and stay ahead in the rapidly evolving tech landscape.
Course content
4 sections • 7 lectures • 01h 08m total length
Chapter
1. Intro about GenAI
2 lectures
00h 19m
▶
Introduction about Generative AI: Explained Concepts and the Future Vision
Video
11m
Welcome to this complete beginner-friendly tutorial on Generative AI — one of the most powerful technologies shaping the future of software, creativity, automation, and intelligent systems. In this video, you’ll learn what Generative AI is, how it works, different types of generative models, how it differs from Traditional AI, real-world applications, future possibilities, and the responsibilities that come with building AI systems.
▶
Understanding Generative AI Models Types and Architectures
Video
8m
Welcome to this complete tutorial on Generative AI Model Architectures! In this beginner-friendly video, you’ll learn how modern Generative AI models are designed, how they work internally, and how they generate text, images, audio, video, and code. We’ll explore the major architectures behind today’s most powerful AI systems including GANs, VAEs, Autoregressive Models, Diffusion Models, and Transformer-based Models.
Chapter
2. Real World usage of GenAI
2 lectures
00h 09m
▶
Most frequently used Generative AI system keywords for real-world usages
Video
4m
Welcome to this complete Generative AI Keywords tutorial! In this beginner-friendly video, you’ll learn the most important AI terms, concepts, architectures, and system keywords used in modern Generative AI applications. Whether you're learning about LLMs, AI Agents, RAG systems, Prompt Engineering, Transformers, or AI deployment concepts — this tutorial will help you understand the real-world terminology behind today’s AI revolution.
▶
Top Platforms to Explore and Learn Generative AI with Complete Source Code
Video
5m
In this beginner-friendly video, you’ll discover how to find high-quality AI projects, open-source repositories, notebooks, and live AI applications from trusted platforms like GitHub, Hugging Face Spaces, Kaggle, Google Colab, and more.
Chapter
3. GenAI Career
2 lectures
00h 25m
▶
Top Real-World Applications of Generative AI You Must Know in 2026
Video
13m
In this beginner-friendly video, you’ll explore how Generative AI is transforming industries with practical use cases, intelligent automation, and AI-powered innovation.
From healthcare and education to finance, robotics, cybersecurity, marketing, gaming, and smart cities — Generative AI is revolutionizing how businesses operate and how people interact with technology.
▶
Roadmap to Become a Generative AI Engineer: From Beginner to Professional
Video
12m
In this beginner-friendly video, you’ll learn the step-by-step career path to becoming a professional Generative AI Engineer in 2026. This roadmap covers everything from Python programming, machine learning, and deep learning fundamentals to LLMs, RAG systems, AI agents, deployment, MLOps, and portfolio building.
Chapter
4. Demo of GenAI
1 lecture
00h 15m
▶
Top AI Tools You Must Know in 2026 – Hands-On Demo of Modern AI Platforms
Video
15m
In this hands-on demo video, you’ll explore the most powerful modern AI platforms transforming productivity, research, coding, design, video generation, music creation, and software development. From ChatGPT and Gemini to Sora, Cursor AI, Perplexity, NotebookLM, Relume, Replit, and Google AI Studio — this tutorial covers real-world AI tools used by developers, creators, researchers, students, and businesses worldwide.
What you'll learn?
-
Build responsive websites using HTML5, CSS3, and JavaScript
-
Create RESTful APIs with Node.js and Express
-
Work with databases using MongoDB and Mongoose
-
Deploy full-stack applications to cloud platforms
-
Understand version control with Git and GitHub
What will be included in this course?
24/7 Access to Course Materials
Downloadable Resources
Certificate of Completion
Lifetime Access
Mobile & TV Access
Frequently Asked Question
OrbitOCP is an online classroom platform that offers live and recorded courses across various fields like DevOps, Cloud, Cyber Security, and Data Science.
You can enroll by selecting your desired course, clicking the Enroll Now button, and completing the registration and payment process.
OrbitOCP offers both live interactive classes and recorded sessions so you can learn at your own pace.
Yes, most courses provide lifetime access to recorded materials and resources after enrollment.
Yes, you will receive a certificate of completion after successfully finishing the course requirements.
0.0
Average Rating
0 reviews
5
0
4
0
3
0
2
0
1
0
FEATURE RATINGS
0
Learn
0
Price
0
Value
No reviews are available for this course yet.
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.