{"course":{"productid":35714,"modality":1,"active":true,"language":"en","title":"Master Class: AI Sales Expert","productcode":"AISE","vendorcode":"MT","vendorname":"Master Class","fullproductcode":"MT-AISE","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/masterclass-aise","objective":"<p>Why Choose This Training Program?<\/p>\n<ul>\n<li>Practical Skills: Go beyond the theory with real-world exercises, role-playing sessions, and workshop-style learning.<\/li><li>Industry-Relevant Content: Gain insights into how AI is transforming sectors such as healthcare, finance, retail, and more.<\/li><li>Expert Guidance: Led by seasoned professionals with years of experience in AI sales and technology.<\/li><\/ul>","audience":"<p>This training is ideal for sales professionals, account managers, and business development teams who want to sharpen their AI knowledge and improve their ability to sell AI-related products and services.<\/p>","contents":"<h5>Day 1:<\/h5><ul>\n<li>Foundations of AI and Generative AI: Gain a clear understanding of AI and GenAI, explore current trends, and learn to identify market opportunities.<\/li><li>AI Technologies and Tools: Discover the core technologies behind AI, the necessary hardware and software requirements, and how to integrate AI solutions into customer environments.<\/li><\/ul><h5>Day 2:<\/h5><ul>\n<li>AI Product and Service Sales: Develop strategies to present AI offerings convincingly, address customer concerns, and highlight the tangible benefits of AI solutions.<\/li><li>Proven Sales Techniques and Best Practices: Learn how to craft compelling pitches, build long-term customer relationships, and implement a winning AI sales strategy.<\/li><\/ul>","outline":"<h4>Day 1: Basics and Use Cases<\/h4><h5>Module 1: Introduction to AI and GenAI<\/h5><h6>Contents:<\/h6><ul>\n<li>Definitions and Concepts:\n<ul>\n<li>AI: Overview of various AI types, from rule-based systems to deep learning.<\/li><li>GenAI: Explanation of generative models that produce content such as text, images, or music.<\/li><li>AI Agents: Interactive systems that independently perform tasks based on user interactions and environmental data.<\/li><\/ul><\/li><li>Historical Development:\n<ul>\n<li>Key milestones in AI development.<\/li><li>From symbolic AI to machine learning and the era of GenAI.<\/li><\/ul><\/li><li>Market Potential and Current Trends:\n<ul>\n<li>Global market size and growth rates in the AI sector.<\/li><li>Relevant industries: healthcare, retail, financial services, manufacturing.<\/li><li>Emerging technologies: transformer models, multimodal AI systems, AutoML.<\/li><\/ul><\/li><\/ul><h6>Activity\/Exercise:<\/h6><ul>\n<li>Group Work:\n<ul>\n<li>Participants analyze the most common use cases in their respective industries.<\/li><li>Creation of a short presentation: How can AI\/ GenAI\/ AI agents deliver concrete improvements?<\/li><\/ul><\/li><\/ul><h5>Module 2: Technologies and Tools for AI Solutions (3 hours)<\/h5><h6>Contents:<\/h6><ul>\n<li>AI Technology Basics:\n<ul>\n<li>Difference between supervised, unsupervised, and reinforcement learning methods.<\/li><li>Structure of neural networks and how they recognize patterns in data.<\/li><li>Functionality of generative models such as GANs (Generative Adversarial Networks) and transformer architectures (e.g., GPT).<\/li><\/ul><\/li><li>Hardware and Software Resources:\n<ul>\n<li>GPUs, TPUs, and other specialized hardware for AI training and inference.<\/li><li>Cloud services (e.g., AWS, Azure, Google Cloud) for AI projects.<\/li><li>Open-source libraries: TensorFlow, PyTorch, Hugging Face Transformers.<\/li><\/ul><\/li><li>Integrations and APIs:\n<ul>\n<li>Overview of RESTful APIs and SDKs.<\/li><li>Ways to integrate AI models into existing software landscapes.<\/li><li>Security and privacy considerations when using AI services.<\/li><\/ul><\/li><\/ul><h6>Activity\/Exercise:<\/h6><ul>\n<li>Practical Demonstration:\n<ul>\n<li>Participants work in groups with a simple generative model application, such as text or image generators.<\/li><li>They compare results and discuss implementation opportunities and challenges.<\/li><\/ul><\/li><\/ul><h4>Day 2: Sales and Customer Focus<\/h4><h5>Module 3: Selling AI Products and Services<\/h5><h6>Contents:<\/h6><ul>\n<li>Understanding Products and Services:\n<ul>\n<li>Differences between AI services (e.g., APIs, consulting), software products (e.g., pre-built AI solutions), and hardware solutions (e.g., AI-optimized hardware).<\/li><li>Use cases and benefits for various target audiences.<\/li><\/ul><\/li><li>Communicating Customer Value:\n<ul>\n<li>Presenting success stories and case studies.<\/li><li>Addressing common customer concerns (e.g., data sovereignty, implementation costs) and how to handle them.<\/li><\/ul><\/li><li>Industry Examples:\n<ul>\n<li>Using GenAI in marketing campaigns.<\/li><li>AI agents for process automation in call centers.<\/li><li>Hardware solutions for AI-powered image analysis in healthcare.<\/li><\/ul><\/li><\/ul><h6>Activity\/Exercise:<\/h6><ul>\n<li>Role-playing:\n<ul>\n<li>Participants practice sales conversations with different customer types.<\/li><li>Peers act as customers, raising typical questions and objections.<\/li><li>Feedback session: Strengths and improvement areas.<\/li><\/ul><\/li><\/ul><h5>Module 4: Strategies and Best Practices for AI Sales<\/h5><h6>Contents:<\/h6><ul>\n<li>Developing Sales Strategies:\n<ul>\n<li>Market segmentation: How to identify potential customers.<\/li><li>Targeted outreach: Personalizing offers based on customer profiles.<\/li><li>Up-selling and cross-selling: Building a portfolio that extends beyond a single solution.<\/li><\/ul><\/li><li>Building Customer Relationships:\n<ul>\n<li>Ongoing engagement with customers: Collecting feedback and deriving improvements.<\/li><li>Long-term customer retention through training and support.<\/li><\/ul><\/li><li>Best Practices:\n<ul>\n<li>Case studies of successful AI implementations.<\/li><li>Key dos and don&rsquo;ts in the sales process.<\/li><li>Adapting to technological changes and continuous learning strategies for sales teams.<\/li><\/ul><\/li><\/ul><h6>Activity\/Exercise:<\/h6><ul>\n<li>Workshop:\n<ul>\n<li>Participants create a short pitch deck for an AI product or service.<\/li><li>Presentation in front of the group, followed by a feedback session.<\/li><li>Goal: Develop a convincing sales presentation that is practical and engaging.<\/li><\/ul><\/li><\/ul><h5>Summary and Wrap-Up<\/h5><ul>\n<li>Open discussion about lessons learned.<\/li><li>Addressing any remaining questions.<\/li><li>Participants receive a brief summary of the discussed topics and links to additional resources.<\/li><\/ul>","summary":"<h4>Become a Trusted AI Advisor: Master AI Solution Sales<\/h4><p>Looking to elevate your sales team&rsquo;s ability to sell AI-based services, software, and hardware solutions? Our intensive 2-day AI Sales Training Program is designed to provide your sales professionals with a solid understanding of AI concepts, generative AI technologies, and AI agents. Through a combination of foundational theory, interactive activities, and hands-on exercises, participants will learn how to position AI offerings effectively, overcome customer objections, and deliver compelling value propositions.<\/p>","objective_plain":"Why Choose This Training Program?\n\n\n- Practical Skills: Go beyond the theory with real-world exercises, role-playing sessions, and workshop-style learning.\n- Industry-Relevant Content: Gain insights into how AI is transforming sectors such as healthcare, finance, retail, and more.\n- Expert Guidance: Led by seasoned professionals with years of experience in AI sales and technology.","audience_plain":"This training is ideal for sales professionals, account managers, and business development teams who want to sharpen their AI knowledge and improve their ability to sell AI-related products and services.","contents_plain":"Day 1:\n\n\n- Foundations of AI and Generative AI: Gain a clear understanding of AI and GenAI, explore current trends, and learn to identify market opportunities.\n- AI Technologies and Tools: Discover the core technologies behind AI, the necessary hardware and software requirements, and how to integrate AI solutions into customer environments.\nDay 2:\n\n\n- AI Product and Service Sales: Develop strategies to present AI offerings convincingly, address customer concerns, and highlight the tangible benefits of AI solutions.\n- Proven Sales Techniques and Best Practices: Learn how to craft compelling pitches, build long-term customer relationships, and implement a winning AI sales strategy.","outline_plain":"Day 1: Basics and Use Cases\n\nModule 1: Introduction to AI and GenAI\n\nContents:\n\n\n- Definitions and Concepts:\n\n- AI: Overview of various AI types, from rule-based systems to deep learning.\n- GenAI: Explanation of generative models that produce content such as text, images, or music.\n- AI Agents: Interactive systems that independently perform tasks based on user interactions and environmental data.\n- Historical Development:\n\n- Key milestones in AI development.\n- From symbolic AI to machine learning and the era of GenAI.\n- Market Potential and Current Trends:\n\n- Global market size and growth rates in the AI sector.\n- Relevant industries: healthcare, retail, financial services, manufacturing.\n- Emerging technologies: transformer models, multimodal AI systems, AutoML.\nActivity\/Exercise:\n\n\n- Group Work:\n\n- Participants analyze the most common use cases in their respective industries.\n- Creation of a short presentation: How can AI\/ GenAI\/ AI agents deliver concrete improvements?\nModule 2: Technologies and Tools for AI Solutions (3 hours)\n\nContents:\n\n\n- AI Technology Basics:\n\n- Difference between supervised, unsupervised, and reinforcement learning methods.\n- Structure of neural networks and how they recognize patterns in data.\n- Functionality of generative models such as GANs (Generative Adversarial Networks) and transformer architectures (e.g., GPT).\n- Hardware and Software Resources:\n\n- GPUs, TPUs, and other specialized hardware for AI training and inference.\n- Cloud services (e.g., AWS, Azure, Google Cloud) for AI projects.\n- Open-source libraries: TensorFlow, PyTorch, Hugging Face Transformers.\n- Integrations and APIs:\n\n- Overview of RESTful APIs and SDKs.\n- Ways to integrate AI models into existing software landscapes.\n- Security and privacy considerations when using AI services.\nActivity\/Exercise:\n\n\n- Practical Demonstration:\n\n- Participants work in groups with a simple generative model application, such as text or image generators.\n- They compare results and discuss implementation opportunities and challenges.\nDay 2: Sales and Customer Focus\n\nModule 3: Selling AI Products and Services\n\nContents:\n\n\n- Understanding Products and Services:\n\n- Differences between AI services (e.g., APIs, consulting), software products (e.g., pre-built AI solutions), and hardware solutions (e.g., AI-optimized hardware).\n- Use cases and benefits for various target audiences.\n- Communicating Customer Value:\n\n- Presenting success stories and case studies.\n- Addressing common customer concerns (e.g., data sovereignty, implementation costs) and how to handle them.\n- Industry Examples:\n\n- Using GenAI in marketing campaigns.\n- AI agents for process automation in call centers.\n- Hardware solutions for AI-powered image analysis in healthcare.\nActivity\/Exercise:\n\n\n- Role-playing:\n\n- Participants practice sales conversations with different customer types.\n- Peers act as customers, raising typical questions and objections.\n- Feedback session: Strengths and improvement areas.\nModule 4: Strategies and Best Practices for AI Sales\n\nContents:\n\n\n- Developing Sales Strategies:\n\n- Market segmentation: How to identify potential customers.\n- Targeted outreach: Personalizing offers based on customer profiles.\n- Up-selling and cross-selling: Building a portfolio that extends beyond a single solution.\n- Building Customer Relationships:\n\n- Ongoing engagement with customers: Collecting feedback and deriving improvements.\n- Long-term customer retention through training and support.\n- Best Practices:\n\n- Case studies of successful AI implementations.\n- Key dos and don\u2019ts in the sales process.\n- Adapting to technological changes and continuous learning strategies for sales teams.\nActivity\/Exercise:\n\n\n- Workshop:\n\n- Participants create a short pitch deck for an AI product or service.\n- Presentation in front of the group, followed by a feedback session.\n- Goal: Develop a convincing sales presentation that is practical and engaging.\nSummary and Wrap-Up\n\n\n- Open discussion about lessons learned.\n- Addressing any remaining questions.\n- Participants receive a brief summary of the discussed topics and links to additional resources.","summary_plain":"Become a Trusted AI Advisor: Master AI Solution Sales\n\nLooking to elevate your sales team\u2019s ability to sell AI-based services, software, and hardware solutions? Our intensive 2-day AI Sales Training Program is designed to provide your sales professionals with a solid understanding of AI concepts, generative AI technologies, and AI agents. Through a combination of foundational theory, interactive activities, and hands-on exercises, participants will learn how to position AI offerings effectively, overcome customer objections, and deliver compelling value propositions.","skill_level":"Beginner","version":"1.0","duration":{"unit":"d","value":2,"formatted":"2 days"},"pricelist":{"List Price":{"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":1950},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":1950},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":1950},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":1950},"GB":{"country":"GB","currency":"GBP","taxrate":20,"price":1690},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":1950}}},"lastchanged":"2026-03-04T20:38:37+01:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/en\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course-schedule\/35714","source_lang":"en","source":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course\/masterclass-aise"}}