Generative AI Bootcamp: Hands-On Projects for Beginners
Hands-on Generative AI with Python, Hugging Face, Ollama, Google Colab, VS Code, Anaconda, and a production-ready interactive voice chat app with 1000+ source code.
- 🔴 Live 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 Date | ⏰ Class Time | 🗓️ Weekly Schedule | 📊 Total Class | ⏳ Course Duration |
|
8 June 2026 27 June 2026 |
8:00 PM - 10:00 PM | Mon, Wed, Sat | 9 | 18 Hours |
Generative AI Bootcamp: Hands-On Projects for Beginners
Hands-on Generative AI with Python, Hugging Face, Ollama, Google Colab, VS Code, Anaconda, and a production-ready interactive voice chat app with 1000+ source code.
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 Bootcamp: Real-World Project for Beginners
Generative AI is transforming how applications are built—and this course is designed to help you understand, build, and apply Generative AI in real-world projects, even if you are a complete beginner.
This bootcamp takes you on a step-by-step journey from Generative AI fundamentals to production-ready applications, focusing on practical skills, modern tools, and reusable workflows used in real industry projects.
You won’t just learn concepts—you’ll build real Generative AI systems.
What You’ll Learn
In this course, you will:
- Understand core Generative AI concepts, architectures, workflows, and real-world use cases
- Build Generative AI applications using Python with clean, scalable development practices
- Run AI models in the cloud (Google Colab) and locally (Ollama) for flexibility and control
- Use Hugging Face models, datasets, and Spaces to test, deploy, and share AI applications
- Develop a production-ready Interactive AI Voice Chat application from scratch
- Explore 1000+ real-world source codes and use cases to accelerate your own projects
- 10+ hours of in-depth Generative AI tutorials
- 70+ High-Quality Video Tutorials for Real-World Learning
Tools & Technologies Covered
You’ll gain hands-on experience with industry-relevant tools, including:
- Python for Generative AI development
- Google Colab for cloud and GPU-accelerated experiments
- Ollama for local AI model execution
- Hugging Face for models, datasets, and deployment
- VS Code for professional development workflows
- Weights & Biases for experiment tracking and monitoring
- Anaconda for environment and dependency management
All tools are explained step by step, with beginner-friendly guidance.
Real-World Capstone Projects
This course is built around real, practical projects, including:
- Interactive AI Voice Chat Application
These projects mirror how production Generative AI systems are built in real teams, helping you gain confidence and hands-on experience.
Who This Course Is For
- Beginners with no prior Generative AI or ML experience
- Students, career switchers, and self-learners entering AI
- Developers who want to apply Python to real GenAI systems
- Anyone who wants to build AI projects, not just learn theory
No advanced math, machine learning background, or expensive hardware required.
Why This Course Is Different
- Beginner-friendly but production-focused
- Real projects, not toy examples
- Covers both cloud and local AI workflows
- Reusable source code you can apply to your own ideas
- Designed as a complete end-to-end GenAI learning journey
By the end of this bootcamp, you won’t just understand Generative AI—you’ll have the skills, confidence, and real projects to build and deploy your own AI-powered applications.
Enroll now and start building real-world Generative AI systems from day one.
Course content
4 sections • 11 lectures • 18h 00m total length
1. Explore Generative AI
2. Programming Language & Development Environment
3. GenAI Development Hub
4. Capstone Project
What you'll learn?
-
Understand core AWS services including EC2, S3, RDS, and Lambda
-
Design secure and scalable cloud architectures
-
Configure IAM users, roles, and security policies
-
Estimate costs and choose appropriate AWS pricing models
-
Pass the AWS Certified Cloud Practitioner exam confidently
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
FEATURE RATINGS
Admin OrbitOCP
An excellent beginner-friendly Generative AI course with practical projects, clear explanations, and real-world applications that are engaging and career-focused.
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.

