Introduction to GenAI at Work - Advanced
6 weeks
·Live Course
Empowering professionals to work smarter with AI everyday.
Your Instructors
Kelley Scharf
Training Operations Manager
Course Overview
The Advanced Generative AI & LLMs program is a hands-on, technical training experience designed for learners who want to move beyond basic AI usage and into building, optimizing, and evaluating real-world Generative AI solutions. This course focuses on applied Python programming, advanced prompt engineering, machine learning foundations, and enterprise-scale Generative AI platforms.
Throughout the program, learners deepen their understanding of how Large Language Models work, including transformers, neural networks, and model evaluation concepts. Participants apply advanced prompt engineering techniques, explore LLM fine-tuning strategies at a conceptual level, and develop Python-based workflows that support Generative AI use cases. The curriculum emphasizes practical implementation over theory, ensuring learners can translate concepts into working solutions.
The course also introduces learners to enterprise and cloud-based Generative AI platforms, highlighting how organizations deploy, govern, and scale AI solutions responsibly. Topics include applied enterprise use cases, architecture considerations, and best practices for integrating GenAI into production environments.
By the end of the program, learners will have designed and delivered a capstone-level Generative AI solution that demonstrates end-to-end skills—from problem definition and model interaction to optimization, evaluation, and presentation. Graduates of this course are prepared to contribute to advanced AI initiatives as GenAI practitioners, analysts, or engineers within modern organizations.
What you'll get out of this course
Build advanced GenAI solutions with Python & LLMs Develop Python-based workflows and applications that integrate Large Language Models into real-world systems.
Apply advanced prompt engineering & LLM optimization Design, test, and refine prompts using advanced techniques to control, evaluate, and improve LLM outputs.
Understand how modern GenAI models work Explain core machine learning and deep learning concepts, including transformers, neural networks, and model evaluation.
Deliver enterprise-ready GenAI projects Work with cloud and enterprise AI platforms to design and present capstone-level Generative AI solutions aligned to business use cases.
Course content
Course Syllabus
1 item
Week 1: Introduction to Version Control
15 items
Week 2 & 3: Introduction to Python
54 items
Week 4: Introduction to GenAI
43 items
Week 5: Prompt Engineering and Fine-tuning with LLMs
13 items
Week 6 & 7: Generative AI with Azure Machine Learning
27 items
Proctored: GenSpark Graduation Assessment
1 item
Hear From Other Students
Alex Martinez
Data Analyst
Financial Services Firm
Priya Shah
AI Practitioner
Enterprise Technology Team
Michael Reynolds
Software Engineer
SaaS Company
Sarah Kim
Technology Consultant
Consulting Services
Your Instructors
Kelley Scharf
Training Operations Manager
I’m the Training Operations Manager at GenSpark, where I coordinate large-scale training initiatives and serve as a liaison between clients, consultants, and internal teams. I manage everything from onboarding and upskilling to consultant performance tracking and client relationship development to ensure our programs deliver impact at every level.
For every cohort, I focus on keeping the program moving forward, from managing logistics and tracking outcomes to supporting trainers and ensuring you have the resources you need to succeed.
Outside of work, I’m usually organizing something in a spreadsheet or spending time with my wife and 6-year-old Siberian Husky, Ace.
Sukhvinder Singh
Building Future-Ready Talent Through Practical AI & Cloud Training
Hello,
I’m a seasoned IT professional with over 15 years of experience in training and mentoring across a wide spectrum of technologies. Currently, I serve as a Senior Manager - Mentoring & Technology at Genspark (Pyramid Consulting), GA, USA, where I specialize in shaping future-ready talent in cutting-edge domains like cloud computing, cybersecurity, software development, and automation.
With certifications in Google Cloud and strong expertise in programming, web technologies, network security, and DevOps, I’ve now expanded my focus to the transformative domain of Generative AI—a field revolutionizing how we build intelligent, creative, and automated solutions.
In this training, we’ll explore the foundations and practical applications of GenAI, including prompt engineering, fine-tuning, use cases in automation/testing, and integration with different tools. Whether you're a tester, developer, or aspiring AI enthusiast, you’ll gain the skills needed to leverage GenAI in real-world projects.
Let’s dive in and unlock the potential of Generative AI in software testing and automation. Looking forward to an engaging and insightful learning journey with you all!
Adam Ingram
Director of Technical Training & Development | Building Tomorrow’s Tech Workforce
I’m the Director of Technical Training & Development at GenSpark, where I design and lead large-scale training programs that connect academic learning with real-world industry needs.
I’m passionate about building talent and driving workforce innovation. Over the years, I’ve developed and deployed nationwide programs across technologies like Mainframe, RPG, Oracle EBS, Guidewire, Cybersecurity, and Generative AI.
My focus is on creating immersive “Hire-Train-Deploy” models that help entry- and mid-level professionals accelerate into meaningful roles with top enterprise clients. I combine technical training, leadership development, and hands-on learning design to prepare learners for long-term success in the tech industry.
When I’m not building the next generation of tech talent, you’ll usually find me traveling with my family, exploring the outdoors in our Grand Design Momentum RV, or creating new and engaging educational content.
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