🚀 Course Overview
This special bundled offering includes three instructor-led courses designed to take you from foundational concepts in Generative AI all the way to advanced model deployment and prompt engineering strategies. Whether you’re a tech enthusiast or a seasoned professional, this comprehensive series will expand your skill set and prepare you to build cutting-edge AI solutions.
 
Included Courses:
#1: Mastering Prompt Engineering (Instructor-Led) - April 22 - April 25th 2025​​
Unlock the power of AI with advanced prompt engineering techniques such as Flip-Interaction, Chain of Thought, Tree of Thought, and Prompt Sequencing. Learn to craft optimized prompts, minimize AI hallucinations, and develop high-impact AI applications using cutting-edge LLMs like GPT-4, Llama, and IBM Granite.
📅 2-Lecture Series:
✔ Day 1: April 22: Introduction to LLMs, Prompt Crafting Basics, and Prompt Types
✔ Day 2: April 25: Advanced Prompt Engineering – Flip-Interaction, Chain of Thought, Tree of Thought, and More.  Take your AI expertise to the next level and build smarter, more effective AI-driven applications.
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#2: Bridging Real world Challenges with Generative AI: Foundation level Course -April 28th - May 9th 2025​
Enhance your expertise in Generative AI with a deep dive into classification methods,
retrieval-augmented generation (RAG), embeddings, and vector databases. This course provides a strong foundation for scaling AI-driven applications and working with structured knowledge retrieval— key to building intelligent AI systems. Ideate your own use cases using AAII provided sandbox.
📅 4-Lecture Series:
✔ Day 1: April 28th: Generative AI Use Cases & Essential Prompt Engineering Techniques
✔ Day 2: May 2nd: Classification Methods & Knowledge Graphs for AI-Driven Insights
✔ Day 3: May 5th: Retrieval-Augmented Generation (RAG), Embeddings, and Vector Databases
✔ Day 4: May 9th Hands-On with AAII sandbox, and Iterative Model Improvements
🔹 Hands-On Learning – Work through real-world business applications in Gen AI Sandbox
🎓 Earn a Foundation-Level Credly Certification upon completion.
Take the next step in mastering AI-driven knowledge retrieval and application scaling.
 
#3: Generative AI Mastery: Build Intelligent Orchestrators - May 12th - June 2nd 2025​
This intensive four-week course provides AI practitioners with the skills to design, build, and deploy sophisticated AI copilots and orchestrators. Learn to develop intelligent, automated AI workflows using tools like Langchain, Langflow, LlamaIndex, Google Agentspace while mastering retrieval-augmented generation (RAG),taxonomy-augmented generation (TAG), and multi-model orchestration.
📅 4-Lecture Series:
✔ Day 1: May 12: Introduction to AI-Driven Orchestration & Essential Building Blocks
✔ Day 2: May 19: Develop Agents with Langchain,  Langflow and Google Agent Development Kit / Agentspace
✔ Day 3: May 27: Implement Orchestration with Vectorization – RAG & TAG
✔ Day 4: June 2: Advanced Orchestration Concepts – Langsmith & Multi-Model AI Agentic Thinking
🔹 Hands-On Learning – Work through your own real-world business applications
🎓 Earn an Intermediate-Level Credly Certification upon successful completion of all assignments and the final project
 
🎯 Key Learning Objectives
By the end of this course, you will:
✔️ Build and deploy AI-driven copilots and orchestrators.
✔️ Master Langchain and Langflow for AI integration.
✔️ Design intelligent workflows to automate business operations.
✔️ Optimize system performance through testing and evaluation.
✔️ Develop real-world solutions tailored to business needs.
 
Expected Outcomes
✅ Advanced AI Fluency: Gain tangible skills in designing and implementing generative AI solutions, from concept to deployment.
✅ Business Impact – Build intelligent copilots that drive efficiency.
✅ Competitive Advantage – Master AI orchestration to deliver strategic value.
✅ Professional Recognition –Earn Foundation and Intermediate Level Credly certifications after successfully completing the courses.
✅ Career Enhancement: Position yourself for advanced roles in AI, with the opportunity to land a paid summer internship (top 10% of the cohort) at Applied AI Institute, June 15–August 15, 2025.
 
Prerequisites
Basic Programming Knowledge: Familiarity with Python or another high-level language is helpful but not strictly required.
General Understanding of AI/ML Concepts: While not mandatory, a basic comfort level with machine learning principles will accelerate your learning.
Motivation to Learn and Experiment: These courses are hands-on and project-focused, so a willingness to engage with coding exercises and experimentation is key.
 
👥 Who Should Attend
This course is ideal for:
✅ AI Professionals and Data Scientists – Seeking to enhance AI capabilities.
✅ Developers – Looking to build complex AI-driven systems.
✅ Business Leaders – Aiming to integrate AI into strategic operations.