- AI & Machine Learning
- No Code Al and Machine Learning Specialization
- AI & Machine learning
No Code Al and Machine Learning Specialization
Specialization in No Code AI and Machine Learning
Harnessing AI Power without Coding
Trusted by over 30K students
- Aligned with the Latest No Code Al and Machine Learning Specialization Content Outline
- Proven Step-by-Step Blueprint for No Code Al and Machine Learning Specialization Al 102 Success
- World's #1 No Code Al and Machine Learning Specialization Prep to Pass in Your First Attempt
Ready for Rapid Career Growth? Our Learning Advisors Are Here to Help!
Enhance Team Skills with Our Corporate and In-House Training Programs
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.
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
Best Seller
Live Online Classroom
Learn in expert-led live sessions
Solid Experiential Learning
- 3 Contact Months with Live Training
- Free On-Demand Course by Industry Experts
- Practice exams and additional resources
-
₹ 39,500₹ 35,500
Self-Paced Learning
Learn at your own pace
Solid Experiential Learning
- 3 Months Contact Hrs with Live Training
- Practice exams and additional resources
-
₹ 35,500₹ 31,250
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
- 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
- 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
- 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
- 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
- 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
- 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
Achieve Excellence: Earn the Coveted No Code Al and Machine Learning Specialization Certified Certification Today!
Unlock No Code Al and Machine Learning Specialization Success with Our Exclusive Offer!
No Code Al and Machine Learning Specialization CERTIFICATION COURSE REVIEWS
Our Learners Love Us
4.6/5 Rated by 2000+ Learners
4.6/5 Rated by 2000+ Learners
4.6/5 Rated by 2000+ Learners
No Code Al and Machine Learning Specialization CERTIFICATION FAQS
Frequently Asked Questions
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.
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.
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.
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.
RECOMMENDED COURSES.
Learners Also Enrolled For
Chief Information Security Officer | CCISO
- Recorded Sessions
- 40 Hours
- Hybrid
- Exam Voucher
