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Prototyping AI

Course Code

3850125

This dynamic five-day Python-based course immerses participants in cutting-edge technologies through hands-on projects and real-world applications. Build modern AI foundations with Natural Language Processing and learn how these techniques are leveraged in generative AI. Then explore the world of generative AI, uncovering the power of transformer models, large language models, and tools like LangChain and Hugging Face. Build advanced generative systems with vector databases, RAG architectures, and fine-tuning techniques to create chatbots and knowledge management solutions. Unlock the potential of computer vision with CNNs, image preprocessing, and object detection. The journey concludes with advanced vision techniques, custom model creation, and powerful deployment strategies for AI-driven workflows.

Co-workers build modern AI foundations with Natural Language Processing

Start Date January 11
Time Sat 8:00am - 5:00pm (PST)
Duration 40 Hours
Program Type Open-Enrollment/Public
Certificate Type Certificate
Format Live-Online
CEUs 4
Fees $3,550

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Contact Advisor

This dynamic five-day Python-based course immerses participants in cutting-edge technologies through hands-on projects and real-world applications. Build modern AI foundations with Natural Language Processing and learn how these techniques are leveraged in generative AI. Then explore the world of generative AI, uncovering the power of transformer models, large language models, and tools like LangChain and Hugging Face. Build advanced generative systems with vector databases, RAG architectures, and fine-tuning techniques to create chatbots and knowledge management solutions. Unlock the potential of computer vision with CNNs, image preprocessing, and object detection. The journey concludes with advanced vision techniques, custom model creation, and powerful deployment strategies for AI-driven workflows.

Prototyping AI

Program Experience

Our program is deeply committed to hands-on learning, blending direct coding exercises with the exploration of low-code tools to interact with some of the most advanced LLMs available today. Through practical exercises, case studies, and projects that mirror real-world challenges, you will acquire firsthand experience in leveraging LLMs for diverse applications, fully equipping you with the skills needed for your professional growth.

By bridging the gap between theoretical knowledge and practical, applicable skills, this program ensures you depart ready to implement LLMs in your work environment.

Benefits

Upon successful completion of this course, you will be able to:

Apply core NLP techniques and ethical practices for sentiment analysis, topic modeling, and named entity extraction.
Understand generative AI architectures, leverage open and closed-source models, and explore future trends in the Gen AI market.
Design and implement RAG-based systems using vector databases for semantic search and knowledge management.
Build and fine-tune AI models for specific applications, utilizing platforms like Hugging Face, LangChain, and Streamlit.
Develop computer vision solutions by preprocessing image data, building CNN architectures, and integrating APIs for deployment.
Adapt pre-trained models, create custom solutions from scratch, and explore scalable deployment strategies for AI systems.

Topics

Day 1 - Natural Language Processing (NLP): Covers tokenization, lemmatization, data cleaning, sentiment analysis, topic modeling, named entity extraction, and spam detection.

Day 2 - Generative AI: Explores embeddings, transformer architectures, large language models, foundation models, and Gen AI tools like APIs and LangChain.

Day 3 - Building Generative AI Systems: Focuses on chatbots, knowledge bases, vector databases, semantic search, RAG architectures, and fine-tuning.

Day 4 - Computer Vision: Covers image preprocessing, CNN architectures, evaluation metrics, object detection, and Hugging Face APIs.

Day 5 - Advanced Computer Vision: Explores pre-trained model adaptation, custom architectures, and deployment strategies for scalable solutions.

Who Should Attend

This course is for those who have intermediate Python programming skills and have worked with the data science workflow. Ideal for participants coming out of a 6-month bootcamp.

Schedule

Course

Duration

Live Online (via Zoom)

Prototyping AI 2.0

40 Hours

On the following days

January 11, 18, 25,
February 1, 8, 2025

8:00 AM - 5:00 PM Pacific Time

Instructor

Photo of Harish Kashyap

Harish Kashyap

Artificial Intelligence, Machine Learning, Data Science