Welcome to "CCAI Virtual Agent Development in Dialogflow ES for Software Developers", the third course in the "Customer Experiences with Contact Center AI" series.

Learn to integrate AI tools into software development, using AI to assist with coding, debugging, and improving programming efficiency.

Gain expertise in AI development, covering machine learning models, neural networks, and AI-powered applications across various industries.

Become proficient in artificial intelligence, exploring machine learning, natural language processing, and AI-driven automation for business and technology solutions.

Master the principles of chatbot design, development, and deployment, using AI to build intelligent and responsive conversational agents.

Develop expertise in utilizing ChatGPT, understanding its capabilities, limitations, and use cases for chatbot development and AI-driven conversations.

Explore the potential of generative AI technologies like GPT, focusing on creating creative outputs, content generation, and automation.

Gain proficiency in Google’s Gemini AI technology, focusing on its applications in machine learning and large-scale data analysis.

Master the development and fine-tuning of large language models (LLMs) for specific tasks such as natural language processing, AI chatbots, and more.

Learn how to craft effective and precise prompts to optimize responses from AI models like ChatGPT for specific tasks and applications.

In this course, you will build a basic cloud call center with AWS Connect then use AWS Lex to create a chatbot that recognizes speech input. You will finish with a call center that routes each call based on what the user says they need.

As a bonus you’ll get exclusive tips and tricks nobody else is using.