Course Description
Generative AI is transforming industries, but implementation challenges often hinder its success. This course, led by experienced GenAI expert Shabazz Mohammed, dives deep into the pitfalls of adopting generative AI and provides actionable best practices to overcome them.
Learn from real-world scenarios, understand why hi-fi demos fail in production, and gain insights into scalable, ethical, and ROI-driven AI adoption.
Course curriculum
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1
Common Mistake and Best practices
- Introduction
- State of GenAI in 2024
- Common Mistakes
- Best Practices for Success
- Demo- GenAI Chatbot Alignment
- Case Study- Top US Bank Co-pilot on CLO Documents
Certificate of Completion
Unlock a lifetime-valid certificate from Analytics Vidhya upon completing the course—your achievement is forever recognized!
Who should Enroll?
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Individuals working with or exploring generative AI technologies
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Executives, managers, and product owners looking to integrate generative AI into their workflows
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Professionals involved in building, fine-tuning, and deploying AI systems
About the Instructor
Shahebaz Mohammad - Applied Machine Learning Engineer at Snorkel AI
Shahebaz, a Kaggle Grandmaster and LinkedIn Top ML Voice, is a Lead Applied Machine Learning Engineer at Snorkel AI. With a stellar career at Snorkel, DataRobot, SocGen, H2O.ai, and Analytics Vidhya, he has driven AI innovation and delivered impactful solutions for Fortune 500 companies and leading US banks.
FAQs
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Q: What are the common mistakes organizations make when implementing Generative AI?
A: Organizations often treat Generative AI as a "one-size-fits-all" solution, rely excessively on hype without clear ROI, and underestimate the importance of domain-specific data and fine-tuning.
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Q: What prior knowledge is required for this course?
A: Basic understanding of AI and machine learning concepts is recommended but not mandatory. The course includes an introduction to Generative AI for beginners.
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Q: Is there a hands-on component in the course?
A: Yes, participants will engage in practical exercises, including building prompts, fine-tuning models, and applying Generative AI in real-world scenarios.
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Q: Can this course help me implement Generative AI in my organization?
A: Absolutely! The course provides actionable frameworks, case studies, and hands-on techniques to integrate GenAI effectively within organizational workflows.
Key Takeaways
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Learn to identify and mitigate risks such as biased outputs, inefficiencies in resource usage, and ethical concerns, ensuring smooth and responsible deployment of GenAI solutions.
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Gain actionable insights into creating frameworks that align AI capabilities with organizational goals, enhancing productivity and delivering measurable business outcomes.
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Build hands-on expertise in using Generative AI effectively while maintaining data privacy, model explainability, and user trust through ethical and secure practices.