Generative Artificial Intelligence (AI)
Revolutionize your approach to work and business by embracing the power of Generative AI through our hands-on prototyping and research course.
No coding skills required!
Course Highlights:
- Deploy Generative AI Principles: Transform your approach to innovation and product development.
- Formulate AI-Driven Strategies: Design competitive advantages for your enterprise in an increasingly AI-driven market.
- Design a Comprehensive AI Roadmap: Align technological capabilities with strategic business objectives.
- Create a Ready-to-Implement AI Blueprint: Develop a tangible blueprint for your product’s future.
- Architect GenAI with Privacy in Mind: Balance leveraging data for AI with maintaining robust data privacy.
- Commit to Responsible AI: Emphasize ethical development and deployment of AI, fostering trust and responsible use.
Course Syllabus:
Day 1: Introduction to the GenAI Landscape
- Overview of Generative AI technologies.
- Exploring no-code solutions from OpenAI, Google, Microsoft, and GPT-Desk.
- Understanding the capabilities and limitations of current GenAI platforms.
Day 2: Prompt Engineering with OpenAI and Google
- Deep dive into prompt engineering for OpenAI’s GPT models.
- Hands-on exercise with Google’s AI tools, including Gemini API.
- Developing personalized AI instances and understanding natural language processing.
Day 3: No-Code AI App Design Strategies
- Introduction to no-code AI app design using Google’s Vertex AI.
- Hands-on project: Design a basic AI-driven app using Google’s Gen App Builder.
- Discussing design considerations for user-centric AI applications.
Day 4: Building GenAI Applications with Microsoft and GPT-Desk
- Using Microsoft Power Platform’s Copilot for AI-powered app development.
- Practical session: Create an AI application with Microsoft Azure’s generative AI tools.
- Exploring GPT app development with GPT-Desk.
Day 5: Workflow Automation with Microsoft AI Integration Tools
- Introduction to Microsoft Power Platform and its AI capabilities.
- Hands-on session: Using Power Automate for AI-driven workflow automation.
- Exploring AI Copilot in Microsoft Power Apps for process automation and efficiency.
- Case study: Implementing AI in business processes with Microsoft’s AI solutions.
Day 6: Workflow Automation with Google’s AI Workflow Tools
- Overview of Google’s AI integration tools for workflow automation.
- Practical exercise: Utilizing Google’s AppSheet for no-code AI app development.
- Integrating AI into Google Workspace using Gemini API for enhanced productivity.
- Developing a workflow automation solution using Google Cloud’s Vertex AI and API management.
Conclusion
- Recap of the key learnings and tools explored.
- Future trends in GenAI and no-code development.
- Career pathways and opportunities as consultants and developers in the field of AI.
Tools Used:
GPT Desk, Open AI Chat GPT Plus, Open AI Playground, Google Generative AI Studio, ChatGPT Enterprise, Google AI Lab, Microsoft Copilot/AI Studio.
What You Will Build:
- Build a landing page
- Build an AI Chatbot with GPT-4
- Build an AI Avatar Generator
- Build an image-to-image generator
- Fine-tuning with Open AI
By the End of the Course:
- Connect to the OpenAI API to use AI in your application.
- Create your own AI writer using GPT-4.
- Create a chatbot using GPT-4 without coding.
- Create an image generator AI using DALLE-3.
- Use various AI APIs for different use-cases.
Duration: 6 weeks, 2 hours each on Saturday and Sunday.
Testimonials
Webinars Held On Artificial Intelligence
Frequently Asked Questions
The course is best for professionals who want to leverage AI to be better in their role.
Proficient AI skills will be considered special talent in the US and globally.
Advanced AI skills are specialized skills and few organisations are doing AI, so it’s high pay and low demand. But generally no code AI skills makes you stand out in your role. And you can quickly become the AI leader in your organisation – best bet is your organisation is not doing AI yet, so you can be a trailblazer.
You need to be a professional who will apply AI in your role.
You don’t need a degree.
There are a few certifications but companies are not looking for them yet.
