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Master AI Development in 30 Days​

Build Production-Ready AI Systems from Scratch to Deployment​

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Ai courses from TDA

AI courses in kerala

Master AI Skills in 4 Weeks: Neural Networks, NLP, LLMs, and Production-Ready Projects

Unlock the power of Artificial Intelligence in just 4 weeks with our hands-on course! Designed for beginners and aspiring AI professionals, this comprehensive program will guide you through building neural networks from scratch, mastering Natural Language Processing (NLP) and transformers, fine-tuning Large Language Models (LLMs) like BERT and GPT, and deploying production-ready AI projects.

Each week is packed with real-world projects, cutting-edge tools like PyTorch, and practical insights to help you build, optimize, and launch AI solutions. By the end of the course, you’ll have the confidence and expertise to showcase your skills with a professional-grade AI project portfolio.

Start your journey today and become an AI expert in no time!

Dive into the foundations of neural networks and develop core skills to build AI systems from the ground up. By the end of the week, you’ll have a functioning digit recognizer and mastery over PyTorch essentials, giving you a strong start in AI development.

  • Build neural networks from scratch
  • Create a working digit recognizer
  • Master PyTorch fundamentals

Step into the world of Large Language Models as you fine-tune BERT and GPT models, optimize them for real-world production, and deploy specialized chatbots tailored to unique use cases.

  • Fine-tune BERT/GPT models
  • Optimize for production
  • Deploy specialized chatbots

Unleash the power of Natural Language Processing by implementing NLP pipelines and creating a transformer from scratch. Conclude the week by building a translation system, setting the stage for advanced language models.

  • Implement NLP pipelines
  •  Build a transformer from scratch
  • Create a translation system

Learn to bridge the gap between development and deployment. Build complete API services, deploy AI solutions to production environments, and create a showcase project that highlights your expertise, ready to impress employers or clients.

This journey is your gateway to becoming an AI specialist, equipped with practical skills and industry-ready experience!

  • Build complete API services
  • • Deploy to production
  • • Create your showcase project

🛠️ Tools You'll Master

ONLINE

OCT 05 – OCT 06

Sat & Sun 6:00am - 8:00am WIB

ONLINE

Sep 10 – Nov 30

Tue & Thu 6:00am - 8:00am WIB

Frequently Asked Questions

Our AI Development course spans 30 days, offering intensive hands-on training from neural networks to production-ready AI systems.

You need basic Python programming skills, fundamental mathematics knowledge, and access to a GPU (local or cloud).

Yes! While a basic understanding of Python and math is required, our course is structured to take you from foundational concepts to advanced AI deployment.

 

You will master PyTorch, Hugging Face Transformers, FastAPI, and other modern AI development tools used in the industry.

The course includes over 8 real-world projects, such as neural networks, NLP pipelines, transformer models, and production-ready API services.

Our course is 100% practical, emphasizing hands-on learning and real-world implementation of AI systems.

Absolutely! The projects you build are production-ready and make excellent additions to your professional portfolio.

No prior experience in machine learning is required. We start with the basics and gradually progress to advanced concepts.

Yes, participants who complete the course successfully will receive a certification of AI Development Mastery.

This course focuses on building real-world, production-ready AI systems, offering a hands-on approach rather than theoretical concepts.

Our course is primarily online, allowing you to learn from anywhere. Stay tuned for updates on offline cohorts.

You will have access to live instructor-led sessions, a community of learners, and expert mentors to guide you through your AI development journey.

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