Predictive AI Classroom Training and Certification
Course Overview
- Course Rating 4.5/5
Overview
Predictive AI is the art and science of forecasting future events using data.
refer: Cloudflare
This Corporate Training is aimed at beginner-level IT professionals who wish to grasp the fundamentals of Predictive AI..
Artificial Intelligence corporate training and certification oriented remote program aims to upskill you with Data Preprocessing, Predictive Modeling, Feature Engineering, Model Evaluation, Deployment
Currently due to Covid19 outbreak, the course is available remote and however it can also be accessed online via your nearby Prog360 centre based on local availability.
Course Prerequisites
• Basic Knowledge of Machine Learning and AI: Familiarity with basic concepts and terminology. • Experience with Programming: Proficiency in at least one programming language (preferably Python). • Understanding of Data Analysis: Basic knowledge of data analysis and statistical concepts. • Familiarity with Tools: Experience with tools like Jupyter Notebooks and basic libraries like NumPy, pandas, and scikit-learn.
Course Content
- Introduction to Predictive AI
- Overview of predictive AI and its applications.
- Key concepts: supervised vs. unsupervised learning, regression vs. classification.
- Understanding the predictive modeling pipeline.
- Data Collection and Understanding
- Types of data and data sources.
- Exploratory data analysis (EDA) techniques.
- Data Preprocessing
- Data cleaning: handling missing values, outliers, and duplicates.
- Data transformation: normalization, scaling, and encoding categorical variables.
- Feature Engineering
- Importance of feature engineering.
- Techniques for creating new features and selecting important ones.
- Introduction to Predictive Modeling Techniques
- Overview of common predictive modeling algorithms: linear regression, decision trees, random forests, gradient boosting, etc.
- Choosing the right algorithm for the task.
- Building Predictive Models
- Implementing predictive models using Python and scikit-learn.
- Training and evaluating models on training data.
- Model Evaluation Metrics
- Model Optimization Techniques
- Hyperparameter tuning using grid search and random search.
- Cross-validation techniques for robust model evaluation.
- Advanced Predictive Modeling
- Ensemble methods: bagging, boosting, and stacking.
- Dealing with imbalanced data
- Model Deployment
- Overview of model deployment strategies.
- Using Flask and FastAPI for creating APIs.
- Real-World Applications of Predictive AI
- Case studies and examples of predictive AI applications in various industries.
- Best practices for deploying and maintaining predictive models in production.
- Course Recap and Q&A Session
- Summary of key concepts and techniques.
- Open floor for questions and discussion.
- Feedback and next steps.
- Comprehensive course manual and reference materials.
- Access to sample datasets and code examples.
- Real-world examples and case studies for hands-on learning.
Fundamentals and Data Preparation
Building and Evaluating Predictive Models
Advanced Techniques and Deployment
Training Materials:
Hands-On Labs: 70% of the training will involve practical exercises and project work.
Certificate of Completion: Participants who attend all sessions and successfully complete the course assessments will receive a Prog360 Certificate of Completion for the Training Program.
Predictive AI Certifications
Predictive AI course delivery involves case studies, examples, discussions and exercises to enhance the learning experience.
At the end of the training the participants will be awarded Course Completion Certificates on Predictive AI .
Post Course Evaluation
You may chose to enroll for a post course evaluation to analyse your knowledge metrics. The post course evaluation would cover the topics related to the training delivered over the period of the complete session, like:
- Introduction to Predictive AI
- Data Preprocessing and Feature Engineering
- Predictive Modeling Techniques
- Model Evaluation and Optimization
- Advanced Predictive Modeling
- Model Deployment and Real-World Applications
- Understand the fundamental concepts and techniques of predictive modeling.
- Gain proficiency in using Python and relevant libraries for predictive AI tasks.
- Develop skills to build, evaluate, and deploy predictive models.
- Learn to handle and preprocess data for predictive analytics.
- Be able to apply predictive AI techniques to real-world problems and datasets.
Upon completing the Predictive AI course, participants will:
Predictive AI Corporate Training
Prog360 offers on-demand corporate learning and development solutions around Artificial Intelligence that can be delivered both onsite and remote (based on availability). With Prog360, you can train your employees with our 360 Approach which not only enhance professional skills but also improvise inter-personal development. Please feel free to inquire further. We are open to discuss your requirement to provide you more customized solution specific to your needs. We will evaluate the skillset, analyze the business requirement and post that provide customized training solutions as per your business needs. Our corporate team for Artificial Intelligence training is based across the globe hence you can reach us nearby your region as well. For general training inquiries you can contact us at training@prog360.com.
Predictive AI Consultation
If you have already up-skilled your team and have started implementing Artificial Intelligence, but are still facing challenges, Prog360 can still help you. Our SMEs can get on a call with you to understand the situation and provide you a plan involving the next steps covering both audit and implementation based on your problem statement. Our corporate team for Artificial Intelligence consultation is based across the globe hence you can reach us nearby your region as well. For general consultation inquiries you can contact us at consult@prog360.com . For more nearby inquiries you can reach your nearby team.
South East Asia and Oceania
Oceania: Melbourne, Australia: 152 Elizabeth St,Melbourne,VIC,Melbourne,
Corporate Training: training.au@prog360.com
Consulting Services: consult.au@prog360.com
South East Asia: Singapore: 5, Temasek Boulevard, Singapore, Central Region, 03898, Singapore
Corporate Training: training.sg@prog360.com
Consulting Services: consult.sg@prog360.com
Contact Number :- +61 3 9015 4952
South Asia and Middle East
South Asia: Bengaluru, India: No. 78, Next to KR Puram Tin Factory, Old Madras Road, Bangalore – Mahadevapura, Bengaluru, Karnataka, 560016
Corporate Training: training.southasia@prog360.com
Consulting Services: consult.southasia@prog360.com
Middle East:- Dubai, UAE: The Offices 4, One Central Dubai World Trade Center, Dubai, Dubai, 00000, UAE
Corporate Training: training.ae@prog360.com
Consulting Services: consult.ae@prog360.com
Contact Number :- +91 9810 643 989