Your cart is empty.
Keep shopping
The GenAI Bootcamp
2 students
The GenAI Bootcamp
Foundations, LLMs, Neural Networks, Transformers, RAG, Prompting, Deployment, Ethics & Live Demos
Created byArkaTalent Tech
Last updated 8/2025
English
What you'll learn
- Understand core concepts of Generative AI, neural networks, GANs, VAEs, and transformers from the ground up.
- Build and fine-tune LLMs like GPT and BERT for real-world tasks using OpenAI and Hugging Face APIs
- Create art, poetry, and code using prompt engineering, MidJourney, and DALL·E with hands-on demos
- Learn real-world AI tools and workflows: TensorFlow Playground, Pinecone, Docker, and Kubernetes
- Apply ethical AI practices, mitigate bias, and build responsible generative systems for production
Explore related topics
Course content
11 sections • 52 lectures • 4h 23m total length
Requirements
- No prior experience in AI or coding is required — this course is designed to guide you step-by-step.
- Curiosity and a willingness to learn through hands-on projects are your biggest assets!
Description
Unlock the full power of Generative AI with The Complete Generative AI Bootcamp — a comprehensive, hands-on journey into the most transformative technology of our time. Whether you're a developer, data scientist, or tech enthusiast, this bootcamp equips you with the practical skills and deep understanding needed to thrive in the AI-driven world.
Start with the foundations of Generative AI, exploring its history, key differences from traditional AI, and real-world success stories like ChatGPT, DALL·E, and MidJourney. Build a strong base in neural networks, autoencoders, GANs, and transformers, and dive deep into how they power today’s generative models.
Experience real-world applications across industries, from creative content and drug discovery to customer support and personalized learning. Learn by doing with interactive demos, live coding sessions, and hands-on projects, including image generation with GANs, prompt-based art creation, LLM fine-tuning, and building RAG systems using LangChain.
You'll also master transformer architectures, LLMs like GPT and BERT, and prompt engineering techniques for zero-, one-, and few-shot learning. Go further with advanced concepts like vector databases, semantic search, and pipeline orchestration using tools like Pinecone, Milvus, and Hugging Face.
Finally, get deployment-ready with modules on Docker, Kubernetes, and cloud scaling, and learn how to build AI responsibly with training on ethical frameworks, bias mitigation, and AI explainability.
By the end, you’ll have a portfolio of projects and the hands-on experience to confidently apply Generative AI in real-world scenarios.
Who this course is for:
- This course is ideal for anyone eager to break into the world of Generative AI — whether you're a beginner, student, working professional, or tech enthusiast. If you're curious about how tools like ChatGPT, DALL·E, and MidJourney work under the hood, or if you want to build real-world AI applications with LLMs, prompts, and cutting-edge models, this course is for you. Developers, data analysts, product managers, and career switchers looking to gain hands-on AI skills will especially benefit. No prior AI experience is required — just a passion to learn and build!