Executive Summary

In the rapidly evolving landscape of technology, staying ahead requires not only understanding the fundamentals, but also mastering practical applications of cutting-edge innovations.

The Practitioner level of our Modern AI Pro bootcamp is built on our Essentials program for those who are very comfortable with hands-on AI product development.

Glimpse of our AI Bootcamp Workshops

Objectives

Develop Production-Ready AI Solutions: + Implement Advanced Data Handling Techniques:+ Optimize and Fine-Tune AI Models:+ Leverage Memory Mechanisms in LLMs:+ Integrate SQL with AI Technologies:+ Ensure AI Governance and Ethical Practices:+ Analyze Real-World AI Implementations:+

Target Audience

Mid to senior Level Managers in Tech
1. Professionals in mid-management to senior roles aiming to master AI applications
2. Managers needing to oversee and deploy AI-driven projects within the enterprise

Experience Level:
1. Who have completed the Essentials program or have significant experience using machine learning in their daily work

Trainer Profile

Profile: +

Certifications

After completing the bootcamp, participants will take a 20-minute final assessment within 1-7 days. This final assessment (80%) combined with the class assessments (20%) will determine the final score. Participants must achieve a score of 60% or more to earn the Modern AI Pro Practitioner Certification, recognizing their advanced expertise and readiness to implement AI solutions in professional settings

Program Benefits:

Drive Innovation and Efficiency: + Enhance Project Outcomes: + Foster Continuous Learning: + Hands-On, Collaborative Experience:+

Day-wise plan

Day 0 (1.5 hours):
1. Lab session for review of Essentials course.
2. Assessment to make sure the student is ready to go up.

Day 1 (5 hours):
1. Session 1: Deploying Production-Ready LLM Chatbot with Langserve & Fast API (Part 1)
2. Session 2: Deploying Production-Ready LLM Chatbot with Langserve & Fast API (Part 2)

Day 2 (7.5 HRS)
1. Session 3: Build an Agent-Based Workflow
2. Session 4: Advanced RAG with Augmentation and Knowledge Graphs (Part 1)
3. Session 5: Advanced RAG with Augmentation and Knowledge Graphs (Part 2)
4. Session 6: Evaluation of LLMs: Revisiting Langfuse and Building Criteria

Day 3 (7.5 HRS):
1. Session 7: Deep Dive into Memory in LLMs
2. Session 8: Best Practices for Using SQL Generation with LLMs
3. Session 9: AI Governance and Ethics
4. Session 10: Real-World Case Studies and Frameworks Available in AWS/Azure for Ready-Made Use

Projects:

We will guide you with 2 projects based on the content provided in the course. We will support the projects with lab sessions

Project 1:
1. Building an LLM from scratch – we will share resources for this.

Project 2:
1. Building a travel agent app

Logistics

Hardware Requirements:
1. A good development laptop with a minimum of 8 GB RAM and 50 GB disk space.

Software Requirements:
1. Install Miniconda: Miniconda Installation Guide Restart the terminal and create your environment: conda create -n modernai python=3.11
2. Install Git: Git Installation Guide Restart the terminal and run: git clone https://github.com/balajivis/modernaipro.git
3. Install VSCode: VSCode Installation Guide
4. Install Ollama: Ollama Download
5. Familiarize yourself with accessing the terminal/command line on your computer. For Windows users, it will be either PowerShell or CMD.

If you have Python installed already, ensure the version is not 3.12. Use a virtual environment or Miniconda to get a lower Python version if necessary. Contact us if you need technical help.

User Accounts to Create:

1. Kaggle
2. Groq
3. Anthropic
4. Hugging Face
5. Langfuse

Conclusion

Modern AI Practitioner level course is designed to build on the foundational knowledge acquired in the Essentials program, pushing participants towards mastering advanced AI concepts and applications. Through hands-on projects, deep dives into complex topics, and continuous assessments, participants will be well-equipped to lead AI-driven initiatives in their organizations, driving innovation and efficiency.

By incorporating real-world case studies and AI governance into the curriculum, we ensure that participants not only gain technical proficiency but also understand the broader implications and responsibilities associated with deploying AI technologies. This balanced approach prepares participants to navigate the challenges and opportunities of AI in a professional setting.

Final Thoughts: Embark on this transformative journey with us and unlock the full potential of AI for your organization. With the guidance of industry experts and a robust support system, your team will be well-equipped to lead AI-driven projects, innovate solutions, and make strategic decisions that drive success. Join us in shaping the future, one AI application at a time

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