Advance your AI skills
Learn hands-on, in-depth
Immediate impact
Who Should Attend?
The Forward-Thinking Data Analyst
Background:
Works with large datasets, performs data cleaning and reporting.
Goal:
Use NLP and generative AI to derive deeper insights, automate repetitive tasks, and enhance reporting with natural-language summaries.
The Aspiring AI Engineer
Background:
Familiar with Python and basic machine learning concepts.
Goal:
Master prompt engineering, fine-tune language models, and build end-to-end solutions that incorporate RAG for more accurate, context-aware responses.
The Tech-Savvy Consultant
Background:
Advises clients on technology adoption, change management, or operational efficiency.
Goal:
Gain hands-on practice in developing AI-driven case studies—enabling advanced client solutions, faster prototyping, and better strategic recommendations.
Learn, Build, Deploy in 4 Sessions
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Foundations of Language Models, Prompt Engineering, and Natural Language Processing
Key Topics
- How LLMs process and generate text
- Foundational NLP concepts and preprocessing techniques
- Creating and refining prompts tailored to specific tasks
- Evaluating how variations in prompts affect model responses
- NLP tools like NLTK and spaCy for text manipulation
- Vector embeddings for text representation
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Introduction to Retrieval-Augmented Generation
Key Topics
- RAG fundamentals and how it enhances LLMs
- Comparing standard LLM outputs with RAG-enhanced ones
- RAG architectures and design principles
- Advantages and limitations of RAG in real-world use
- Document chunking strategies for retrieval
- Embedding models and vector databases in RAG
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Privacy, Security, and Domain-Specific AI Prototyping
Key Topics- Privacy and security risks in RAG-based systems
- Best practices for protecting sensitive data
- Compliance concerns with enterprise and regulated data
- Detecting and mitigating hallucinations and model misuse
- Designing domain-specific AI prototypes using RAG and LLMs
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Prototype Development, Demo, and Wrap-Up
Key Topics- Finalizing and refining your domain-specific AI prototype
- Preparing clear and engaging presentations and live demos
- Communicating the relevance and impact of your solution
- Receiving constructive feedback from peers and stakeholders
- Reflecting on key takeaways and future AI applications
Learn from AI-CCORE Experts
Dr. Prashanti Manda | Lead Instructor
Dr. Mahadevan Subramaniam | Director
Dr. Victor Winter | Deputy Director
P Ashish Kumar | AI Platform Engineer
Vijayaragupathy Vijayaragunathapandian | AI Engineer
Bootcamp Cohorts
AI Bootcamp | $1,000
Employer Reimbursement: Many employers cover professional development. Ask about our employer documentation.
Coming Soon
What Our Participants Say
"The clear explanation of RAG architectures was excellent. The Langflow workshops effectively focused on practical principles, enabling hands-on learning."
"The detailed coverage of RAG approaches and chunking strategies, with emphasis on their functional differences, was valuable. The well-explained demonstrations and concept-focused exercises enhanced the learning experience."
"The Langflow build template was highly effective. The presentation was informative and created valuable opportunities to learn about various AI applications from other participants."
Frequently Asked Questions
Basic programming knowledge (preferably Python) and familiarity with data concepts are recommended. However, the bootcamp is designed to accommodate participants with varying levels of technical expertise.
You'll work with popular AI frameworks and tools including n8n, Langflow, Python, Jupyter notebooks, Hugging Face transformers, OpenAI APIs, and various NLP libraries such as NLTK and spaCy.
Yes, upon successful completion of the bootcamp and the final project, you will receive an AI-CCORE certificate that you can showcase on your resume and LinkedIn profile.
The demand for professionals with generative AI skills is growing rapidly across industries. According to recent reports, AI specialists command premium salaries and companies are actively seeking talent who can implement AI solutions.
Our bootcamp focuses on practical, hands-on learning with real-world applications. The curriculum is designed by industry experts and academics, providing a balance of theoretical knowledge and applied skills with a special focus on Retrieval Augmented Generation (RAG).
Refundable if cancellation is requested within 48 hours of registering for the class. After 48 hours of registration, the classes will be non-refundable.
Explore Your Options
Meet with our advisors to discover if this bootcamp is right for you.