Building Conversational AI Applications Course Overview

Building Conversational AI Applications Course Overview

The Building Conversational AI Applications certification is a professional credential that signifies an individual's expertise in creating smart applications capable of complex human interaction. Encompassing key concepts such as Natural Language Processing, Machine Learning, and Deep Learning, this certification testifies a person's ability to build AI tools like chatbots, personal assistants, or customer-service bots. Industries leverage this certification to ensure their employees can implement these advanced technologies effectively, enhancing customer engagements, streamlining operations, and driving digital innovation. The aspirants learn to design conversation flows, understand user intents, train AI models, and integrate these applications into existing systems or platforms.

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  • Live Online Training (Duration : 8 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

• Basic knowledge of Python and Linux
• Intermediate understanding of Machine Learning
• Understanding of Natural Language Processing
• Ability to effectively communicate technical ideas to non-technical teammates

Target Audience for Building Conversational AI Applications Certification Training

• AI developers and engineers
• Chatbot developers
• IT professionals seeking to understand AI technology
• Tech start-ups focused on AI
• Companies looking to implement AI in customer service
• Professionals in customer engagement roles
• Digital marketers exploring AI capabilities
• Software or application developers
• IT Project Managers in AI.

Why Choose Koenig for Building Conversational AI Applications Certification Training?

- Certified Instructor: Koenig Solutions offers training from certified professionals experienced in Conversational AI.
- Boost Your Career: Gain an edge in the AI field to enhance your career prospects.
- Customized Training Programs: Tailor-made courses to suit individual learning needs.
- Destination Training: Option to learn from exotic locations worldwide.
- Affordable Pricing: High-quality training programs available at reasonable prices.
- Top Training Institute: A renowned institute with a history of reputable training services.
- Flexible Dates: Schedules adjustable to fit your time constraints.
- Instructor-Led Online Training: Direct involvement and guidance from instructor in an online setting.
- Wide Range of Courses: A plethora of AI courses to choose from.
- Accredited Training: Certifiable training which holds value in the professional community.

Building Conversational AI Applications Skills Measured

After completing Building Conversational AI Applications certification training, an individual can earn skills such as developing and deploying AI chatbots, understanding the workings of Google Dialogflow, integrating chatbots with social media platforms, and programming responses for conversational AI. They’ll also gain proficiency in Natural Language Processing, Machine Learning, Text-to-Speech and Speech-to-Text conversion and training the model to understand context and nuances. These skills enable the individual to build smarter and more intuitive AI systems.

Top Companies Hiring Building Conversational AI Applications Certified Professionals

Top companies hiring Building Conversational AI Applications certified professionals include IBM, Microsoft, Amazon, Google, and Facebook. These global tech giants are investing heavily in AI technology, seeking experts who can develop sophisticated chatbots and virtual assistants. Small tech firms and AI startups are also on the lookout for such talents.

Learning Objectives - What you will Learn in this Building Conversational AI Applications Course?

The primary learning objectives of the Building Conversational AI Applications course are to understand the basics of how conversational AI technology works, including the principles of natural language processing and interpretation. Students will learn how to develop, train, and refine AI models for conversational applications. They'll be introduced to various conversational AI tools and platforms and will gain hands-on experience in building chatbots and voice assistants. Also, they will learn about the ethical considerations and best practices in the field of conversational AI. The course aims to equip learners with skills needed to successfully implement conversational AI solutions in real-world scenarios.