AI Builders
⏱️ Length: 2.1 total hours
⭐ 4.44/5 rating
👥 13,253 students
🔄 March 2022 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Note➛ Make sure your 𝐔𝐝𝐞𝐦𝐲 cart has only this course you're going to enroll it now, Remove all other courses from the 𝐔𝐝𝐞𝐦𝐲 cart before Enrolling!
- Course Overview
- Bridging RPA and Cognitive Intelligence: This course serves as a comprehensive guide to transitioning from standard task-based automation to intelligent, decision-driven workflows. It explores how the integration of Microsoft AI Builder elevates Power Automate from a simple logic engine to a sophisticated system capable of interpreting data, images, and text.
- Strategic Implementation of Low-Code AI: You will explore the strategic value of democratizing machine learning within an enterprise. The curriculum focuses on how non-developers can implement complex algorithmic solutions to solve high-value business problems without writing a single line of code.
- Architectural Synergy: Gain a deep understanding of how AI Builder interacts with the broader Microsoft Power Platform ecosystem, specifically focusing on the relationship between Dataverse, Power Apps, and cloud-based triggers to create a unified automation environment.
- Modernizing Legacy Processes: The course provides a roadmap for identifying manual, high-volume bottlenecks and replacing them with intelligent bots that can handle unstructured data with a level of accuracy that matches or exceeds human performance.
- Requirements / Prerequisites
- Foundational Power Automate Knowledge: A baseline understanding of the Power Automate interface and the concept of “Cloud Flows” is necessary, as the instruction moves quickly into advanced configurations and AI integrations.
- Microsoft Power Platform Environment: Students should have access to a Microsoft 365 tenant with a Power Apps or Power Automate license. A trial version of AI Builder is highly recommended to participate in the hands-on lab exercises.
- Conceptual Data Literacy: Familiarity with basic data structures—such as rows, columns, and entity relationships—will help you understand how AI models process information and return results to your database.
- Business Process Awareness: Having a specific business use case in mind (such as invoice processing or customer feedback loops) will significantly enhance the learning experience and help you apply the concepts immediately.
- Skills Covered / Tools Used
- Advanced Document Processing: Master the training of custom form-processing models. You will learn how to teach the AI to identify specific fields on varied document layouts, allowing for the automated extraction of data from receipts, invoices, and contracts.
- Natural Language Processing (NLP): Utilize pre-built models for sentiment analysis, language detection, and key phrase extraction to automatically interpret the intent and emotional tone behind customer emails and support tickets.
- Visual Computer Vision: Explore the object detection model, learning how to train the system to recognize, count, and categorize specific items within images or video frames for inventory and quality control scenarios.
- Predictive Modeling Techniques: Gain the ability to build and refine binary prediction models. You will learn how to feed historical data into the AI Builder to forecast future outcomes, such as project delays or customer churn.
- Dataverse Integration: Learn to use Microsoft Dataverse as the central repository for your AI-processed data, ensuring that your automated insights are stored securely and remain accessible to other Power Platform applications.
- Model Lifecycle Management: Understand the technical nuances of versioning, testing, and publishing your AI models to ensure they remain accurate as your business data evolves over time.
- Benefits / Outcomes
- Accelerated Digital Transformation: By mastering AI Builder, you become an architect of modern business solutions, capable of reducing manual processing times from hours to seconds through intelligent automation.
- Enhanced Data Accuracy: Learn to eliminate the “human factor” in data entry. Trained AI models provide consistent, high-precision data extraction, which leads to cleaner databases and more reliable business reporting.
- Scalable Decision Making: Develop workflows that can make real-time decisions—such as approving a discount or flagging a fraudulent claim—based on the predictive insights generated by your custom-built models.
- Competitive Career Differentiation: As organizations shift toward Hyperautomation, possessing the skills to integrate AI with RPA sets you apart from traditional automation developers and positions you for senior technical roles.
- Optimized Resource Allocation: Free up valuable human capital from repetitive data-crunching tasks, allowing your team to focus on high-level strategy and creative problem-solving while the AI handles the heavy lifting.
- PROS
- Efficient Time Investment: The course is structured into a concise 2.1-hour format, making it ideal for busy professionals who need to gain high-level skills quickly without wading through fluff.
- Massive Peer Validation: With over 13,000 students enrolled, the course has a proven track record of delivering value and maintaining a high level of student satisfaction.
- Practical Application Focus: Rather than focusing on abstract theories, the course emphasizes the “how-to,” providing direct instructions on building and deploying functional AI models.
- Targeted Learning Path: The curriculum is strictly focused on the intersection of RPA and AI, making it a perfect follow-up for those who already know basic Power Automate but want to move into the advanced tier.
- CONS
- Interface Discrepancies: Since the Microsoft Power Platform is updated frequently, some of the visual elements and menu layouts in the recorded lessons may look slightly different from the current live environment, requiring a small amount of adaptability from the learner.
Learning Tracks: English,Development,No-Code Development
Found It Free? Share It Fast!