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No Code Al and Machine Learning Specialization

Specialization in No Code AI and Machine Learning

Harnessing AI Power without Coding

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Overview

No Code Al and Machine Learning Specialization Certification training

The No Code AI and Machine Learning Specialization is designed for individuals seeking to leverage advanced AI capabilities without the need for extensive programming skills. This program focuses on teaching participants how to build and deploy machine learning models using intuitive, no-code platforms and tools. Participants will learn to create predictive models, automate data analysis, and develop AI-driven applications using user-friendly interfaces. The specialization covers essential concepts in machine learning, including supervised and unsupervised learning, as well as natural language processing and computer vision. By the end of the specialization, learners will be equipped with the knowledge and skills to harness the power of AI effectively in various domains, enabling them to drive innovation and efficiency without traditional coding requirements.

Why No Code machine learning Is Essential

however instruments like Amazon SageMaker are created for machine learning engineers and data scientists to train, build and implement machine learning models for any application with completely managed workflows, tools and infrastructure, business analysts also require to create with machine learning. No Code machine learning spans that Disparity and delivers automated ML to business analysts so they can create Anticipations.

Industry Demand

Unlock Opportunities: Over No Code Al and Machine Learning Specialization Jobs Available by 2030!

The No-Code AI and Machine Learning Specialization is witnessing increasing industry demand as organizations seek efficient ways to implement AI solutions without extensive coding. This specialization equips professionals with skills in utilizing no-code platforms to develop AI models and automate processes effectively. Industries across sectors such as healthcare, finance, e-commerce, and education are particularly interested in professionals with these skills to streamline operations and enhance decision-making processes.

Salaries for professionals specializing in no-code AI and machine learning vary by experience and location. Entry-level positions typically offer salaries starting around $80,000 per year, while experienced specialists can earn upwards of $120,000 annually, especially in roles focusing on scalable AI deployment and strategic implementation.

Why Choose Us?

Discover the Sense Academy Advantage

Expert Instructors

Learn from industry experts with real-world experience

Flexibility

Learning formats, including online courses, workshops.

Supportive community

Connect with peers,mentors, and professionals for success

Hands-On Experience

Our courses include practical labs, real-world projects etc.

High Success Rates

Our students excel in certification and job placement

Access Recorded Sessions

Access recorded sessions anytime for flexible review.

No Code Al and Machine Learning Specialization COURSE PRICING

Tuition Fee

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Live Online Classroom

Learn in expert-led live sessions

Solid Experiential Learning

Self-Paced Learning

Learn at your own pace

Solid Experiential Learning

WHAT YOU’LL LEARN IN THIS training

Learning Objectives

Master no-code platforms for building AI and machine learning models.

Create predictive models and automate data analysis processes.

Develop AI-driven applications using intuitive user interfaces.

Gain proficiency in supervised and unsupervised learning techniques.

Implement natural language processing and computer vision applications.

PREREQUISITES FOR this CERTIFICATION TRAINING

Prerequisites and Eligibility

Basic understanding of AI and machine learning concepts
Familiarity with data analysis and interpretation
Interest in exploring AI and machine learning applications without coding

WHO SHOULD ATTEND THis COURSE ONLINE

Who This Course Is For?

Business Analysts
Product Managers
Marketing Professionals
Entrepreneurs

Domain Experts
Data Analysts
Anyone interested in AI and machine learning without coding

COURSE SYLLABUS

Curriculum

Module 1 - Fundamentals of AI & Machine Learning

Overview of AI & Machine Learning, and Their Importance
Machine Learning Life Cycle
Machine Learning Challenges
Introduction to MLOps
Introduction to No-Code AI & Machine Learning
Advantages and Limitations of No-Code AI & ML
Popular No-Code AI Platforms
Key Features of No-Code AI Platforms
Working with Data in No-Code AI Platforms
Building Models with No-Code Tools

Module 2 - Data Collection, Cleaning and Pre-processing

Data Sources and Datasets
Data Acquisition Techniques
Assessing Data Completeness, Consistency, and Accuracy
Automated Data Collection Tools
Data Import and Pre-processing using No-Code Tools
No-Code Tools for Data Transformation
Data Visualization Techniques without Coding
Data Cleaning Techniques using No-Code Platforms
Feature Engineering without Coding
Dimensionality Reduction
Handling Categorical Data
Balancing Imbalanced Datasets
Advanced Imputation Techniques
Advanced Outlier Detection and Treatment
Data Warehousing and ETL Processes

Module 3 - Machine Learning Algorithms

Supervised Learning Algorithms
Linear Regression and Polynomial Regression
Using No-Code Tools for Linear Regression
Logistic Regression and Classification Algorithms
Decision Trees, Random Forests and K-Nearest Neighbors
Building Classifiers using No-Code Tools
Unsupervised Learning Algorithms
Clustering Techniques
No-Code Clustering Tools and Visualizations
Dimensionality Reduction Techniques using No-Code Tools
Anomaly Detection and Outlier Analysis
Evaluation Metrics for Regression
Evaluation Metrics for Classification
No-Code Tools for Model Evaluation

Module 4 - Advanced ML Techniques & NLP

Ensemble Learning Methods (e.g., Bagging, Boosting)
Support Vector Machines (SVM)
Introduction to Artificial Neural Networks
Building Blocks and Learning Process of ANNs
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Attention Mechanism
Building and Training Neural Network Model with No-Code Tools
Text Analytics and Natural Language Processing (NLP)
Text Processing, Representation, and Sentiment Analysis without Coding
Building NLP Models using No-Code Platforms
Vector Embedding’s

Module 5 - Model Optimization and Deployment

Cross-Validation Techniques (K-fold, Stratified, etc.)
Model Selection Strategies (Hyper parameter Tuning, Grid Search, Randomized Search, etc.)
Bias-Variance Trade-off and Over fitting/Under fitting
Feature Selection Techniques without Programming
Model Interpretability and Explain ability
Interpreting Model Outputs and Insights
Deploying Models without Coding
Integration with Web and Mobile Applications using No-Code Platforms
Model Monitoring and Management

Module 6 - Real-world AI Applications and Case Studies

Applications of No-Code Machine Learning in Various Industries
Case Studies in Finance (Fraud Detection, Credit Scoring)
Case Studies in Healthcare (Diagnosis, Treatment Recommendations)
Case Studies in Marketing (Customer Churn Prediction, Targeted Advertising)
Case Studies on Predictive Analytics
Case Studies on Image Recognition
Common Challenges of No-Code ML
Best Practices for ML Project Success
Ethical Considerations in No-Code ML Deployment

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No Code Al and Machine Learning Specialization CERTIFICATION COURSE REVIEWS

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No Code Al and Machine Learning Specialization CERTIFICATION FAQS

Frequently Asked Questions

Why should I pursue the No Code AI and Machine Learning Specialization?

The specialization equips you with skills in AI and machine learning without needing deep programming knowledge. It enables you to leverage automated tools and platforms to build AI models and make data-driven decisions, making it accessible for non-technical professionals.

Who should consider enrolling in the No Code AI and Machine Learning Specialization?

This specialization is ideal for business analysts, product managers, entrepreneurs, and professionals from non-technical backgrounds interested in harnessing AI and machine learning capabilities. It is suitable for those looking to integrate AI into their business operations without programming skills.

How can I prepare for the No Code AI and Machine Learning Specialization?

Preparation involves familiarizing yourself with basic AI and machine learning concepts, understanding data analysis principles, and exploring no-code AI platforms and tools. Practical experience with data handling and visualization tools can also be beneficial.

What are the benefits of earning the No Code AI and Machine Learning Specialization?

This specialization validates your ability to leverage AI and machine learning technologies effectively without programming skills. It enhances your credibility in data-driven decision-making, enables you to automate tasks using AI models, and opens up opportunities in industries adopting AI-driven solutions.