LIVE ONLINE COURSE

AI SOLUTION ARCHITECT

Dates: 24 JUN 2026 - 17 AUG 2026

Duration: 8 WEEKS
MONDAYS & WEDNESDAYS
5:30 PM PT / 8:30 PM ET

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DUC HABA
GENAI INCUBATOR, EX-COGNIZANT

LIVE ONLINE COURSE

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Elevate your expertise with real-world applications & a "Data First" approach. Redefine your brainstorming process to refine strategic AI success.

From customizing solutions ethically to mastering data science techniques, let Duc Haba, Chief AI Officer at GenAI Incubator and formerly at Cognizant and Xerox PARC, help you navigate this rapidly evolving landscape.

THIS COURSE IS FOR YOU, IF...

YOU ARE A SOLUTION ARCHITECT WITH NO AI EXPERIENCE (YET)

Unfamiliar with AI? By focusing on real-world applications, tools, and the crucial stages of AI development, you’ll gain all the skills necessary to seamlessly integrate AI into your architectural frameworks.
YOU ARE A DATA PROFESSIONAL SEEKING CUSTOMIZED FEEDBACK

Data first! Our approach and methodology are entirely data-driven. Master specific skills, from ethical considerations to deploying AI solutions – all while ensuring data security – and navigate the complexities of AI.
YOU ARE A TECH LEAD OR A TECH PRODUCT OWNER

Strategically align innovation with business objectives. By delving into advanced analytics, customization techniques, and the dynamic landscape of AI systems, drive impactful, ethical, and successful AI initiatives within your tech leadership role.

PROJECT-BASED LEARNING

Dive into text moderation (NLP), image classification (CNN), and customizing large language models (Generative AI). Gain hands-on experience in AI applications for automation, decision-making, and self-learning.

COMPREHENSIVE TOPICS & CASE STUDIES

Explore Jupyter & HuggingFace, select models, craft tools, and grasp data cleaning's crucial role. You’ll get a practical perspective on AI implementation & focus on AI ethics, data security, and regulatory compliance.

REAL-WORLD CAREER GUIDANCE

Elevate your career with personalized guidance, including portfolio building, expert guest speaker insights, and exclusive opportunities for recommendation letters and LinkedIn endorsements.

DUC
HABA LINKEDIN PROFILE

Chief AI Officer at GenAI Incubator
2024 Marquis Who’s Who Honored Listee
Top Machine Learning Voice on LinkedIn
Led as Chief AI Scientist and Solution Architect, renowned for expertise in Data Augmentation, ML, CNN, and GenAI.
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” and “Python Simplified with GenAI,” Amazon’s #1 New Release, showcasing a unique blend of technical prowess, leadership, and dedication to ethical AI.

TUE (6/23) AT 5:30 PM PT/8:30 PM ET

👋Welcome Class: Meet Your Instructor

☝️Takeaway: You’ll understand the course roadmap, project expectations, and how to approach your learning like an AI solution architect.

Class description: Kick off your journey by meeting your instructor and exploring how this course will turn your technical skills into strategic AI leadership. Get clarity on the structure, deliverables, and how each project builds toward your final portfolio.

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WED (6/24) AT 5:30 PM PT/8:30 PM ET

🌐 Navigating the AI World: Data-Driven Foundations

Assignment #1

☝️Takeaway: You’ll be able to identify viable AI opportunities using data-driven reasoning and assess their technical feasibility in real-world contexts.

Class description: Discover what it means to think like an AI solution architect. Learn the “Data First” methodology, explore how AI projects come to life, and put your critical thinking to the test with real-world feasibility challenges.

Group Activity: AI Idea Validation: Possible or Not?

Assignment #1

Text Moderator

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MON (6/29) AT 5:30 PM PT/8:30 PM ET

🎯 Your AI Vision: Project Selection & Metrics That Matter

Demo

Assignment #2

☝️Takeaway: You’ll be able to frame an AI project with measurable performance metrics tied directly to business impact.

Class description: Learn how to evaluate, select, and define AI projects that align with strategic goals. You’ll practice setting clear KPIs to measure business and technical success. Demo: Defining KPIs & Success Metrics.

Demo: Defining KPIs & Success Metrics

Assignment #2

Text Moderator

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WED (7/1) AT 5:30 PM PT/8:30 PM ET

⚙️ Building Your AI Stack: Jupyter, HuggingFace & Kaggle

Demo

Assignment #3

☝️Takeaway: You’ll know how to assemble and configure an AI toolkit using Jupyter, HuggingFace, and Kaggle to support your project’s foundation.

Class description: Get hands-on with the tools that power modern AI. Learn to build your tech stack, leverage open-source models, and source datasets for experimentation.

Demo: Finding Data Sources on Kaggle

Assignment #3

Text Moderator

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MON (7/6) AT 5:30 PM PT/8:30 PM ET

🧪 From Prototype to Possibility: Evaluating AI Solutions

Assignment #4

☝️Takeaway: You’ll gain practical experience testing AI prototypes and identifying their scalability, constraints, and enterprise readiness.

Class description: Move from theory to application. Test and evaluate AI prototypes, exploring real-world limitations and decision-making trade-offs between open-source and enterprise tools.

Lab: Deploying the OpenAI Text Moderation Prototype.

Assignment #4

Text Moderator

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WED (7/8) AT 5:30 PM PT/8:30 PM ET

🗂️ Proof of Concept Blueprint: Teamwork & Timelines

Assignment #5

☝️Takeaway: You’ll be able to design an AI project roadmap, define team roles, and document processes that ensure scalable development.

Class description: Learn to structure a full AI development plan, from data preparation to documentation. Understand how to assemble effective teams and manage technical timelines.

Lab: Code Walkthrough of Text Moderation Prototype.

Assignment #5

Text Moderator

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MON (7/13) AT 5:30 PM PT/8:30 PM ET

⚖️ Accuracy & Fairness in AI

Assignment #6

☝️Takeaway: You’ll know how to measure AI performance beyond accuracy, ensuring fairness, inclusivity, and ethical soundness.

Class description: Dive into the ethics of AI development. Learn benchmarking techniques to evaluate fairness and accuracy, and hear from an industry expert on responsible AI.

Assignment #6

Text Moderator

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WED (7/15) AT 5:30 PM PT/8:30 PM ET

🚀 Deploying AI: From PoC to Custom API

Assignment #7

☝️Takeaway: You’ll be able to deploy an AI prototype as a functional API and integrate user feedback for iterative improvement.

Class description: Step into deployment. Learn to turn a proof of concept into a live application using HuggingFace and DevOps principles while incorporating user feedback loops.

Lab: Deploying the Text Moderation App

Assignment #7

Text Moderator

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MON (7/20) AT 5:30 PM PT/8:30 PM ET

🔁 The Feedback Loop: Learning from Real Users

Assignment #8

☝️Takeaway: You’ll know how to implement feedback loops and A/B testing to optimize AI systems in near real-time.

Class description: Create self-improving AI systems through analytics and feedback. Learn to track, interpret, and integrate user data for continuous refinement.

Assignment #8

Text Moderator

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WED (7/22) AT 5:30 PM PT/8:30 PM ET

🤖 AI in Action: Industry Applications & CNN

Assignment #9

☝️Takeaway: You’ll understand how AI learns and adapts and how CNNs drive real-world image recognition systems.

Class description: Explore how AI transforms industries through automation and decision-making. Get hands-on with image classification using Convolutional Neural Networks.

Assignment #9

Image Classification

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MON (7/27) AT 5:30 PM PT/8:30 PM ET

🛡️ Ethics & Security in AI Systems

Assignment #10

☝️Takeaway: You’ll be able to apply ethical frameworks and data protection principles to build secure and transparent AI systems.

Class description: Learn how to design AI responsibly, ensuring data privacy, transparency, and compliance with ethical and legal frameworks.

Assignment #10

Image Classification

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WED (7/29) AT 5:30 PM PT/8:30 PM ET

🧭 Platform Choices: Enterprise vs. Open Source

Demo

Assignment #11

☝️Takeaway: You’ll know how to evaluate and select the right AI platform for your business goals and technical needs.

Class description: Compare the trade-offs of open-source and enterprise AI platforms. Learn how costs, scalability, and customization shape technical and business outcomes.

Demo: CNN Image Classification Project

Assignment #11

Image Classification

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MON (8/3) AT 5:30 PM PT/8:30 PM ET

📈 Performance & Monitoring: Measuring AI Success

Assignment #12

☝️Takeaway: You’ll be able to monitor, fine-tune, and report AI performance linked directly to business KPIs.

Class description: Learn how to track and maintain AI system performance with advanced metrics, hyperparameter tuning, and business integration.

Lab: AI Performance Monitoring

Assignment #12

Image Classification

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WED (8/5) AT 5:30 PM PT/8:30 PM ET

🧩 Customizing AI: Building Your Own LLM

Assignment #13

☝️Takeaway: You’ll understand how to customize and deploy LLMs securely for specialized enterprise use cases.

Class description: Tailor AI systems to specific business contexts. Learn how to adapt and extend Large Language Models while maintaining compliance and data privacy.

Assignment #13

Customized LLM

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MON (8/10) AT 5:30 PM PT/8:30 PM ET

🧹 Data Deep Dive: Cleaning, Structuring & Visualizing

Assignment #14

☝️Takeaway: You’ll know how to preprocess, clean, and visualize data to optimize model performance and interpretability.

🎤Guest Speaker:

Ideal Datasets & Quality Standards

Class description: Clean data like a pro. Learn the techniques to refine, visualize, and prepare datasets that drive stronger model accuracy and insights.

Lab: Data Cleaning & Visualization Walkthrough

Assignment #14

Customized LLM

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WED (8/12) AT 5:30 PM PT/8:30 PM ET

🔒 Precision & Privacy: Optimizing the Llama Model

Assignment #15

☝️Takeaway: You’ll be able to boost model accuracy while implementing differential privacy and data protection standards.

Class description: Take model tuning to the next level. Improve accuracy, protect private data, and balance personalization with compliance through hands-on exercises.

Lab: Building the Llama Index

Assignment #15

Customized LLM

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MON (8/17) AT 5:30 PM PT/8:30 PM ET

🏁 Continuous Growth: Scaling Your AI Career

☝️Takeaway: You’ll walk away with a complete AI project portfolio, a refined resume, and a clear roadmap for advancing your AI leadership career.

Class description: You’ll walk away with a complete AI project portfolio, a refined resume, and a clear roadmap for advancing your AI leadership career.

Optional: Demo Day + Career Guidance Session

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What our students say

Jo Van Oosterwyck

"This course was an incredible journey into the world of designing scalable, innovative AI solutions. From mastering requirements gathering to navigating infrastructure and stakeholder approvals, every step was packed with insights that will help shape the future of tech and product development.

A special thanks to our amazing instructor, Duc Haba, whose expertise and guidance made all the difference. Your passion for AI and real-world insights truly elevated the experience—thank you!

Looking forward to applying these skills to the exciting challenges ahead, especially in building smarter, more impactful solutions at Bimefy and beyond."

Ronald Johnson

"I recently completed the Artificial Intelligence Solutions Architecture course with ELVTR taught by Duc Haba, and it was outstanding. Duc’s experience, teaching style, and support were unmatched. He provided a strong foundational framework and a clear methodology for shaping ideas while integrating key ongoing learning practices for the AI field. This course was truly exemplary and I highly recommend it to anyone looking to grow in AI solutions architecture."

Nitin Adik

"I recently completed the AI Solution Architect course from ELVTR, and it turned out to be one of the most practical and well-structured courses. The instructor Duc Haba brought a lot of real industry experience, which made the sessions feel relevant instead of theoretical. I also want to highlight the support staff, who played a huge role in making the experience smooth and enjoyable. They were always quick to respond, extremely organized, and consistently helpful."

Kerubel Woldemariam

"The AI Solutions Architect course exceeded my expectations with its well-structured curriculum that balances theoretical foundations with practical applications. Duc brings valuable industry experience to teaching, providing insights beyond textbook knowledge. The course effectively equipped us with both technical expertise and thought leadership skills that have directly enhanced our professional work. The collaborative learning environment with Tony facilitated valuable connections with peers that have lasted beyond the program. Thank you Duc & Tony !"

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AI SOLUTION ARCHITECT

THIS COURSE IS FOR YOU, IF...

YOU ARE A SOLUTION ARCHITECT WITH NO AI EXPERIENCE (YET)

YOU ARE A DATA PROFESSIONAL SEEKING CUSTOMIZED FEEDBACK

YOU ARE A TECH LEAD OR A TECH PRODUCT OWNER

Our students work in 1600+ companies worldwide

What our students say