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Industrial 4.0 Certification Training in Nigeria - Upskill and Lifelong Learning

DP-604T00 Implement a data science and machine learning solution with Microsoft Fabric

This course provides a comprehensive guide to implementing data science and machine learning solutions using Microsoft Fabric. Learn the end-to-end analytics workflow, from data exploration and preprocessing to model training and deployment. Gain hands-on experience with notebooks, Data Wrangler, and MLflow to handle data distribution, missing values, and predictive modeling. Discover how to leverage Microsoft Fabric for seamless data processing, visualization, and machine learning experimentation.

Through practical exercises, you will train and track machine learning models, generate batch predictions, and manage AI-driven workflows efficiently. This course is ideal for data scientists, analysts, and AI professionals looking to integrate Microsoft Fabric into their data science pipeline. By the end of the training, you will be equipped to build scalable machine learning solutions, optimize predictive analytics, and enhance decision-making with AI-powered insights.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Course Code: M567

Fee

₦170,000.00

Course Date

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to info@tertiarycourses.com.ng and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Introduction to end-to-end analytics using Microsoft Fabric

  • Explore end-to-end analytics with Microsoft Fabric
  • Data teams and Microsoft Fabric
  • Enable and use Microsoft Fabric

Topic 2 Get started with data science in Microsoft Fabric

  • Understand the data science process
  • Explore and process data with Microsoft Fabric
  • Train and score models with Microsoft Fabric
  • Explore data science in Microsoft Fabric

Topic 3 Explore data for data science with notebooks in Microsoft Fabric

  • Explore notebooks
  • Load data for exploration
  • Understand data distribution
  • Check for missing data in notebooks
  • Apply advanced data exploration techniques
  • Visualize charts in notebooks
  • Use notebook for data exploration in Microsoft Fabric

Topic 4 Preprocess data with Data Wrangler in Microsoft Fabric

  • Understand Data Wrangler
  • Perform data exploration
  • Handle missing data
  • Transform data with operators
  • Preprocess data with Data Wrangler in Microsoft Fabric

Topic 5 Train and track machine learning models with MLflow in Microsoft Fabric

  • Understand how to train machine learning models
  • Train and track models with MLflow and experiments
  • Manage models in Microsoft Fabric
  • Train and track a model in Microsoft Fabric

Topic 6 Generate batch predictions using a deployed model in Microsoft Fabric

  • Customize the model's behavior for batch scoring
  • Prepare data before generating predictions
  • Generate and save predictions to a Delta table
  • Generate and save batch predictions

Course Info

Prerequisite:

Basic knowledge of Rhino is required.

Software Requirement:

Job Roles

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Data Analyst
  • Business Intelligence Developer
  • Data Engineer
  • Cloud Data Engineer
  • Applied AI Specialist
  • Analytics Consultant
  • Data Science Consultant
  • AI Solutions Architect
  • Predictive Analytics Specialist
  • Big Data Engineer
  • Microsoft Fabric Developer
  • Research Scientist (AI & ML)
  • AI Product Manager
  • Data Science Project Manager
  • Machine Learning Researcher
  • Cloud AI Engineer
  • Enterprise Data Architect

Trainers

Rabinath Kulasegaram: Rabinath Kulasegaram has an extensive knowledge and over 16 years of work experience in media field, such as Digital Graphics, Digital Painting, 2D Animation, 3D Modelling, Character animation, VFX effects, 3D Match move, Fluids, Dynamics effects, particles, Multimedia application development and Web Development.

He has extensive knowledge in lecturing creative media, Interactive web, multimedia, 3D Modelling, 3D animation, VFX and digital film making. He is now managing his own post production company.

He is constantly researching new CGI techniques and improving his knowledge and skills to use the latest CGI techniques with an efficient production timeline on projects.

Ehsan Mokhtari: Ehsan Mokhtari is an Architect and parametric designer, facade designer, and simulations in architecture background for the last 7 years. He is the designer of multiple projects in Malaysia and other countries and also he simulated multiple projects for human comforts as well. he has also been the tutor for last 5 years on different software such as Autocad, Rhino, Grasshopper and . . . in different universities and institutes. Ehsan is a researcher on UPM in architecture faculty since 2018 and he's researching about human comfort in architecture.

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