Generative AI Mastery: Building Intelligent Copilots & Orchestration Systems
It is with great pleasure that we welcome you to our advanced course in Generative AI commencing on November 11th , 2024. This Hackathon is not only about learning; it's about applying knowledge to real-world scenarios using generative AI accelerators. This course is a comprehensive, hands-on program tailored for AI practitioners aiming to develop advanced AI-driven copilots and orchestrators. Throughout the course, you will dive deep into essential tools like Langchain and Flowise, gaining the skills needed to create customized, intelligent solutions. The curriculum covers practical aspects of building and integrating these systems, including thorough testing and evaluation methods to ensure optimal performance. You'll work with real-world use cases, enabling you to design and deploy intelligent workflows that significantly enhance user experiences and streamline operations.
Student Profile: This course is designed for AI professionals, data scientists, and developers who have a strong foundation in AI technologies and are looking to expand their expertise into the realm of AI-driven systems.
Prerequisites: To enroll, students must have completed courses in Prompt Engineering, Retrieval-Augmented Generation (RAG), and Taxonomy-Augmented Generation (TAG). These prerequisites ensure that participants have the necessary background to fully engage with the advanced content and challenges presented in this course.
Learning through Videos
Pre-recorded Videos will provide you concepts and examples associated with Generative AI or Large Language Model (LLM).
No New Set-Up Needed
All the development environment will be provided by AI Institute in a secure Microsoft Azure cloud environment. In addition all solution accelerators associated with various use case will be provided by AI Institute.
Knowledge Checks with Final Assignment
As you learn a concept, test your understanding using Interactive Knowledge Checks or quizzes
We will also test how you apply all learnt concepts using a Final Assignment based upon you individual home-work assignment.
Live Lectures
Engage in 6-hours of live lectures.
- Day 1 Lecture (Foundations of AI-Driven Orchestration and building blocks): Tuesday 11th 2024, from 8:00 AM to 9:30 AM PST
- Day 2 Lecture (Build Functional AI Knowledge Assistant and Copilots with Langflow): Friday, Nov 15th 2024, from 8:00 AM to 9:30 AM PST
- Day 3 Lecture (Build orchestration with vectorization - RAG and TAG): Monday, Nov 18th 2024, from 8:00 AM to 9:30 AM PST
- Day 4 Lecture (Advanced Concepts in Orchestration - Langsmith, Large Multi Model, Ethical and Societal Implications): Friday, Nov 22nd 2024, from 8:00 AM to 9:30 AM PST
Homework Assignments
To complement these lectures, you will receive unparalleled TA/coach support during your Homework Assistance sessions:
- Tuesday Nov 12th, 2024: 8:00 AM to 9:30 AM PST
- Thursday Nov 14th 2024: 8:00 AM to 9:30 AM PST
- Tuesday Nov 19, 2024: 8:00 AM to 9:30 AM PST
- Thursday, Nov 21st 2024: 8:00 AM to 9:30 AM PST
- Monday Nov 25th 2024: 8:00 AM to 9:30 AM PST
Credly Certification
Students will be asked to complete homework assignment at the end of each lecture. Upon successful completion of homework assignment and final project, students will receive an Intermediate level Credly certification of completion for adding into their profile.
Hackathon Objectives
Welcome to our course! We're so excited to have you on board.
We would like to provide you hands-on expertise in Generative AI techniques, solution design, and business implications through an active learning project. To make the most of our time together, we've outlined the following objectives:
- Develop AI-Driven Orchestrators: Build and optimize an AI-driven workflow orchestrator using Langchain, LlamaIndex, and Hyde to address real-world challenges in automation and decision-making.
- Create Functional AI Copilots: Design and implement AI copilots to assist in specific tasks, integrating LLMs, chain logic, and custom prompts for enhanced user support.
- Integrate Orchestration Building Blocks: Apply and experiment with LLMs, document loaders, text splitters, and vector stores in your orchestrations, fine-tuning for efficiency and scalability.
- Explore Advanced Orchestration Techniques: Utilize advanced tools like Langsmith and large multi-models while evaluating ethical and societal implications to ensure responsible AI use.
- Build a Full-Stack AI Solution: Develop an end-to-end AI application that combines orchestrators and copilots, demonstrating proficiency in building, deploying, and evaluating full-stack AI solutions.
Course Outline
1) Overview of AI-Driven Orchestration
- Introduction to Langchain, LlamaIndex, and Hyde
- Key principles in orchestrating AI workflows
2) Designing AI Workflow Orchestrators
- Best practices for workflow design
- Integrating orchestration into practical applications
3) Orchestration Building Blocks
- LLMs and Chains: Creating efficient language model-driven workflows
- Prompts and Parsers: Fine-tuning interactions and output interpretation
- Document Loaders & Text Splitters: Efficient data processing and input management
- Vector Stores: Structuring memory and search capabilities
4) Building AI-Driven Copilots
- Fundamentals of copilot development
- Copilot use cases and user interaction models
5) Advanced Concepts in Orchestration
- Exploring Langsmith and Large Multi-Model integration
- Ethical and societal implications of orchestration
6) Building a Full Stack AI Application
- Combining orchestrators and copilots into a cohesive application
- Deployment and performance evaluation techniques
Expected Outcome
- Receive lecture materials & tips on Generative AI
- Complete a project presentation for future employer presentations and college applications.
- Present your solution to business leaders and AI experts and win prizes.
- Receive a set of generative AI accelerators for future use.
- Obtain an Intermediate level “Credly” completion certificate as an accomplishment.
Time Commitment
Engage in a 2-week program with 6-hours of live lectures and 6-hours of TA sessions. Allocate time for online courses, training, demo development, and the final capstone project deliverable.
Total time commitment by students – 15-20 hours in two weeks
Instructor and Judges
Your course instructor is Neena Sathi. Judges include seasoned AI faculty from MIT and University of Toronto and business leaders from Industry.
Course Registration
To enroll in the course, please select "Enroll now" button below. If you have been given a coupon, you can apply it on the enrollment page.
Curriculum
AAII Course Offerings
In our AI series, we have designed many courses on AI related topics such as Vision, Conversational AI, Graph AI and Data Science. We are working with a few universities in launching these courses. These courses are aimed as education aid for graduate level courses at leading US universities. We will be releasing these courses on a periodic basis using Teachable as a platform. Please select "View All Products" to view all our courses.
