GenAI for Business Transformation Learning Path

• 50-60 hours of instructor-led online classes
• Access to hands on projects

Essentials of Generative AI, Prompt Engineering & ChatGPT (12 hours live instructor-led)

• Understand the fundamentals, mechanisms, and significance of ChatGPT and generative AI, including explainable AI.
• Apply prompt engineering techniques and explore diverse applications, use cases, and fine-tuning methods for ChatGPT.
• Examine the potential of generative AI to revolutionize industries and gain in-depth knowledge of prominent generative AI tools.

Prompt engineering for ChatGPT (4 hours live instructor-led)

• Understand the evolution of AI and language models, focusing on Chat GPT's unique features, capabilities, limitations, and practical applications in digital interaction.
• Master prompt engineering to create impactful prompts, including basics, best practices, and advanced techniques for effective AI interactions.
• Explore how prompt engineering optimizes tasks and personalizes services across industries such as healthcare, finance, retail, media, travel, and education.
• Gain skills to automate queries and enhance service delivery using advanced models and plugins in various business functions.

Workflow Automation using Generative AI (4 hours live instructor-led)

• Understand workflow automation basics and how AI tools like Zapier streamline business processes, from setting up accounts to creating efficient Zaps.
• Master creating and debugging AI-driven workflows in Zapier, using AI tools for enhanced content creation, data entry, and social media automation.
• Learn to create complex Zaps with conditional logic, leverage AI-generated data for decision-making, and handle large datasets through batch processing.
• Gain insights into tracking and optimizing Zap performance, scaling AI-powered workflows, and exploring industry-specific use cases, success stories, and lessons learned.

GenAI in Sales & Marketing (8 hours live instructor-led)

• Master digital strategy evolution and AI's role in sales/marketing, leveraging generative AI for impactful applications and diverse marketing strategies, including AI-driven copywriting and content creation.
• Gain expertise in AI-driven customer engagement through personas, lead lists, chatbots, email outreach, and personalized campaigns based on predictive behavior.
• Learn to use generative AI for documentation generation, code refactoring, optimizing performance, designing algorithms, experimenting with new concepts, and creating synthetic data for testing.
• Understand AI's application in design innovation, user insight, accessibility, product development optimization, and integrating generative AI in software development, including future trends and ethical considerations.

Generative AI in Software Engineering (6 hours live instructor-led)

• Understand generative AI, its role in development and design, key technologies, and major players.
• Understand AI tools for coding, including code completion, generation, reviews, test cases, and security fixes.
• Learn to use AI for documentation, code refactoring, performance optimization, algorithm design, and synthetic data creation.
• Gain insights into AI-driven design innovation, user insight, accessibility, product development, and the ethical aspects of AI in software development.

Generative AI in Data Analytics  (4 hours live instructor-led)

• Understand the basics of generative AI, its role in data analytics, generative models, and fundamentals of neural networks and deep learning.
• Learn to generate synthetic data for training ML models, ensuring privacy, augmenting datasets, and maintaining data integrity, and create accessible data visualizations to uncover insights and patterns.
• Master automated data cleaning, real-time analysis, predictive modeling, and scenario simulation for risk assessment, while understanding the challenges and ethics in AI data generation

Generative AI in Customer Service Operations  (4 hours live instructor-led)

• Understand AI-driven customer service strategies, including chatbots, virtual assistants, and personalized service customization.
• Utilize AI for analyzing customer feedback, improving self-service resources, and automating call center operations.
• Explore ethical implications, practical challenges, and advancements in AI for customer service

Generative AI in Product & Research Development (4 hours live instructor-led)

• Leverage AI to reshape product management strategies, generate innovative ideas, and enhance design and development processes.
• Use AI-driven insights to improve user satisfaction, align product vision with business goals, and make informed decisions.
• Address challenges such as data quality, model interpretability, and ethical implications while exploring next-generation AI tools and techniques.