Predictive AI Classroom Training and Certification

Course Overview

  • Course Rating 4.5/5

Overview

This program is about Artificial Intelligence .

Predictive AI is the art and science of forecasting future events using data.

refer:

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

    Fundamentals and Data Preparation

    1. 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.
    2. Data Collection and Understanding
      • Types of data and data sources.
      • Exploratory data analysis (EDA) techniques.
    3. Data Preprocessing
      • Data cleaning: handling missing values, outliers, and duplicates.
      • Data transformation: normalization, scaling, and encoding categorical variables.
    4. Feature Engineering
      • Importance of feature engineering.
      • Techniques for creating new features and selecting important ones.

    Building and Evaluating Predictive Models

    1. 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.
    2. Building Predictive Models
      • Implementing predictive models using Python and scikit-learn.
      • Training and evaluating models on training data.
    3. Model Evaluation Metrics
    4. Model Optimization Techniques
      • Hyperparameter tuning using grid search and random search.
      • Cross-validation techniques for robust model evaluation.

    Advanced Techniques and Deployment

    1. Advanced Predictive Modeling
      • Ensemble methods: bagging, boosting, and stacking.
      • Dealing with imbalanced data
    2. Model Deployment
      • Overview of model deployment strategies.
      • Using Flask and FastAPI for creating APIs.
    3. 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.
    4. Course Recap and Q&A Session
      • Summary of key concepts and techniques.
      • Open floor for questions and discussion.
      • Feedback and next steps.

    Training Materials:

    • Comprehensive course manual and reference materials.
    • Access to sample datasets and code examples.
    • Real-world examples and case studies for hands-on learning.

    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:

    1. Introduction to Predictive AI
    2. Data Preprocessing and Feature Engineering
    3. Predictive Modeling Techniques
    4. Model Evaluation and Optimization
    5. Advanced Predictive Modeling
    6. Model Deployment and Real-World Applications
The topic listed above are only to give you a general idea and the post training evaluation may or may not restrict to these topics. Post successful evaluation attempt the participants would be awarded Evaluation Certificates on Artificial Intelligence. Upon Completion of this Course you will accomplish following:

    Upon completing the Predictive AI course, participants will:

    • 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.

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Upcoming Sessions Near You

City
Start Date
End Date
Apply
Bengaluru, India
26-Dec-2024
28-Dec-2024
New Delhi, India
26-Dec-2024
28-Dec-2024
Mumbai, India
26-Dec-2024
28-Dec-2024
Pune, India
26-Dec-2024
28-Dec-2024
Pune, India
12-Jan-2025
14-Jan-2025
Mumbai, India
12-Jan-2025
14-Jan-2025
New Delhi, India
12-Jan-2025
14-Jan-2025
Bengaluru, India
12-Jan-2025
14-Jan-2025
Pune, India
25-Jan-2025
27-Jan-2025
Mumbai, India
25-Jan-2025
27-Jan-2025
New Delhi, India
25-Jan-2025
27-Jan-2025
Bengaluru, India
25-Jan-2025
27-Jan-2025
Pune, India
11-Feb-2025
13-Feb-2025
Mumbai, India
11-Feb-2025
13-Feb-2025
New Delhi, India
11-Feb-2025
13-Feb-2025
Bengaluru, India
11-Feb-2025
13-Feb-2025
Pune, India
24-Feb-2025
26-Feb-2025
Bengaluru, India
24-Feb-2025
26-Feb-2025
New Delhi, India
24-Feb-2025
26-Feb-2025
Mumbai, India
24-Feb-2025
26-Feb-2025

Predictive AI Corporate Training

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

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

For any Queries

Testimonials & Reviews

The Predictive AI training provided an excellent foundation in AI concepts with practical applications. The course was well-structured and the labs were highly beneficial.
Daniel Anderson
Excellent Predictive AI Training
Informative Predictive AI certification course. The training offered valuable insights into AI concepts with practical examples and labs.
Lucas Thompson
Informative Predictive AI Certification
Solid Predictive AI course with a comprehensive curriculum and hands-on labs. The course was engaging and highly informative.
Jacob Martinez
Solid Predictive AI Course
Detailed Predictive AI training with thorough coverage of AI concepts and practical labs. The course provided a deep understanding of Predictive AI.
Ethan Brown
Detailed Predictive AI Training
Great course for understanding Predictive AI. The content was comprehensive and the practical exercises helped in applying the concepts effectively.
Emma Wilson
Great Predictive AI Course
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