From prototype refinement to deployment readiness, master the blueprint of successful AI projects, delve into ethical AI practices, and become a strategic architect of the future with hands-on, industry-relevant LIVE online experiences.
Pioneered career at Xerox PARC, contributing to expert systems and defense projects, progressing to pivotal roles at Oracle, Viant Consulting, and Cognizant.
Orchestrated AI strategies, architected mobile kids’ books, and developed impactful solutions as CTO at LeVar Burton's RRKidz.
Wrote & published “Data Augmentation with Python,” Amazon’s #1 New Release, showcasing a unique blend of technical prowess, leadership, and dedication to ethical AI.
Ready to start? Chat with your instructor, navigate the course structure, and unveil the exciting projects that will propel you toward success during the course.
- Instructor Introduction
- Course Structure & Outcomes
- Assignments & Projects
- Q&A
What’s the “Data First” methodology? Come find out as you learn about the crucial stages of AI development. As an AI solution architect, you’ll have various roles and responsibilities to take on. Today we’ll look into practical scenarios and real-world applications to prepare you for the job!
- The exciting world of an AI solution architect
- Data First methodology
- Group activity: AI idea validation: Possible or not?
Project 1: Text Moderator /Assignment #1
Find the sweet spot where innovation overlaps strategic business aims. Learn to steer and assess initiatives that reflect your goals, meet technical requirements, and hit the bullseye on your metrics.
- Pinpointing a promising AI project
- Alignment with business goals & values
- Potential impact & feasibility
- Demo: Define KPIs & metrics
Project 1: Text Moderator /Assignment #2
Empower your AI journey by welding tools and platforms. Customize your AI tech stack, embrace HuggingFace's NLP library, and unlock insights from Kaggle's rich data science arena. Let’s get started!
- Define your AI tech stack
- HuggingFace introduction
- Demo: Identify data source on Kaggle
Project 1 Text Moderator /Assignment #3
What if you could use tools and platforms to craft and deploy impactful AI solutions? Well, today’s the day! Navigate AI solutions from prototyping to full-fledged deployment while combatting limitations and exploring constraints. You’ll also test drive an AI Text Moderation prototype utilizing the OpenAI-moderate module.
- Benefits of paid enterprise AI platforms vs. Open-source
- Define the prototype’s limitations
- Evaluation & exploration
- Lab: Test drive the AI Text Moderation prototype with the OpenAI-moderate module
Project 1 Text Moderator /Assignment #4
Teamwork makes the dream work! But how can you make a team work? Get the blueprint for success by identifying the pivotal roles within an AI team and skillfully crafting a project timeline. Explore the crucial phases of data refinement and augmentation, unlocking insights into the intricate AI project documentation hierarchy.
- Build your AI team
- Defining AI schedule: Data cleaning & augmentation
- Taxonomy of AI architecture documentation
- Lab: Quick code walkthrough of the AI Text Moderation prototype
Project 1 Text Moderator / Assignment #5
Let’s get digital! What does fairness look like in the AI realm? Dive into its significance and accuracy in model development. Embark on a virtual expedition exploring various accuracy benchmarking techniques, honing in on commonsense reasoning and the Holistic Evaluation of Language Models (HELM) benchmarks.
- Define fairness
- Benchmark accuracy
- Benchmark fairness & inclusivity
- Guest speaker: Discuss fairness and ethical issues in AI
Project 1 Text Moderator / Assignment #6
Leverage HuggingFace for PoC deployment and delve into crafting a custom API. Explore the intersection of DevOps and AI deployment, emphasizing operational nuances. Then highlight the pivotal role of user feedback in refining AI solutions.
- PoC deployment using HuggingFace
- Build custom API
- Considering DevOps
- User feedback
- Lab: Walk through Text Moderation app deployment
Project 1 Text Moderator / Assignment #7
Create perpetual improvements by infusing user feedback into AI systems. By using advanced analytics methods to dissect and interpret feedback, you’ll foster a refined understanding. Through these insights, you’ll leave with enhanced performance and user experiences.
- Advance analytics
- Integrate feedback into product
- A/B testing
- Near real-time vs. schedule AI update
Project 1 Text Moderator / Assignment #8
Here’s the action plan: Discover the vast range of AI applications across industries. You’ll learn about AI systems’ principles of learning and adaptation. You’ll also explore Convolutional Neural Networks (CNN) and their application in Image Classification. By the way, if you love dogs then you’ll love today’s lesson.
- Industry applications & data analysis
- Learning & adaptation
- Efficiency & automation
- Enhanced user experience & decision-making
- Introduction to the CNN Project
Project 2 Image Classification / Assignment #9
Everyone wants their data secure, private, and handled responsibly. Immerse yourself in ethical values while ensuring data security. We’ll address transparency, explainability, regulatory compliance, and accountability to ensure that your AI solutions don’t create problems.
- Ethics & data security
- Transparency and explainability of training dataset
- Regulatory compliance and accountability
- The popular AI algorithms
- Guest Speaker: Online security discussion
Project 2 Image Classification / Assignment #10
Two words: costs & licensing. Learn how these factors vary between proprietary and open-source tools while impacting project budgets. The other factors that may influence your choice of AI platform are customization, flexibility, scalability & integration. We’ll discuss them all!
- Cost & licensing
- Customization, flexibility, security & reliability
- Scalability and integration
- Legal and liability constraints
- Demo: The CNN Image Classification project
Project 2 Image Classification / Assignment #11
Go beyond the basics. It's time to not just monitor and measure AI systems but to effectively orchestrate their success. Explore AI systems’ integration with sales and campaign platforms, understanding how AI contributes to and enhances business processes.
- Beyond feedback and analytics
- Integration with sales and campaign platforms
- Hyperparameter tuning
- Lab: Monitoring & measuring success
Project 2 Image Classification / Assignment #12
Set your sights on customizing AI solutions that meet your needs. The goal: Master the art of tailoring AI to meet specific needs while upholding legal and ethical standards. As we maneuver through complex AI systems we’ll explore how to customize Large Language Models.
- Level of AI customization
- Protect private data
- Legal & company AI usage policy
- Introduction to our customized LLM model
Project 3 Customized LLM Model /Assignment #13
Roll up your sleeves! We’re getting hands-on practice today! Practice techniques to refine data, remove inaccuracies, and prepare it for use in AI models. As you plunge into the realm of data processing and cleaning you’ll explore data analysis and visualization to draw meaningful conclusions.
- Data collection & management
- Data preprocessing & cleaning
- Data analysis & visualization
- Lab: Code walk-through on data cleaning & visualization
- Guest speaker: Ideal datasets discussion
Project 3 Customized LLM Model /Assignment #14
Elevate AI models to unprecedented heights while safeguarding sensitive company data. Improve model precision and relevance, ensuring that AI solutions are not only accurate but also highly applicable to specific use cases. As you walk through today’s lesson, we’ll hone in on precision, privacy, and personalization.
- Enhanced model precision and relevance
- Customized user experience
- Differential privacy in training
- Lab: Code walk-through creating Llama Index
Project 3 Customized LLM Model / Assignment #15
It’s the last class. Hold back your tears and network with your peers. AI is ever-evolving hence the need to continuously learn, adapt, and stay up-to-date with trends. Today you’ll gain insights into how to manage the challenges associated with the integration and scalability of AI systems effectively. Then we’ll leave you with some expert career guidance!
- Continuous learning and adaptation
- Technological advancements
- Ethical and regulatory landscape
- Integration and scalability challenges
- Lab: Code walk-through deploying the Llama Index LLM model
Project 3 Customized LLM Model / Assignment #16
Bonus Assignment: Resume Review