Top IT & Non IT Course in Viskhapatnam |

The UI/UX Design Certified Course equips learners with the skills and tools to design engaging, user-friendly, and visually appealing digital experiences. This program blends creativity with functionality, teaching you how to design interfaces that are not only attractive but also intuitive and effective for end-users.

Through hands-on projects, real-world case studies, and practical assignments, you will gain experience in user research, wireframing, prototyping, usability testing, and design tools such as Figma, Adobe XD, and Sketch.

What You’ll Learn:

Fundamentals of UI & UX – Understanding user-centered design principles
User Research & Personas – Identifying audience needs and behaviors
Wireframing & Prototyping – Creating low/high-fidelity designs
Visual Design – Color theory, typography, layout, and branding
Usability Testing – Improving designs through feedback and iteration
Design Tools Mastery – Figma, Adobe XD, Sketch
Responsive & Mobile-First Design – Ensuring cross-device compatibility
Portfolio Building – Developing a professional design portfolio
Who Can Enroll:

Students and graduates aspiring to enter UI/UX careers
Graphic designers transitioning to digital product design
Web & app developers looking to improve design skills
Professionals seeking to enhance product usability knowledge
Certification:
Upon successful completion of the course, participants will receive a UI/UX Design Certification, validating their expertise and readiness for industry roles.

Career Opportunities:

UI Designer
UX Designer
Product Designer
Interaction Designer
Design Researcher
Fee: 21,500

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Here are some of the best UI/UX design certification courses available in Visakhapatnam (Vizag), based on up-to-date information

1. UI/UX Design Certified Course:
Course Overview:
The UI/UX Design Certified Course equips learners with the skills and tools to design engaging, user-
friendly, and visually appealing digital experiences. This program blends creativity with functionality,
teaching you how to design interfaces that are not only attractive but also intuitive and effective for
end-users.
Through hands-on projects, real-world case studies, and practical assignments, you will gain
experience in user research, wireframing, prototyping, usability testing, and design tools such as
Figma, Adobe XD, and Sketch.
What You’ll Learn:
Fundamentals of UI & UX – Understanding user-centered design principles
User Research & Personas – Identifying audience needs and behaviors
Wireframing & Prototyping – Creating low/high-fidelity designs
Visual Design – Color theory, typography, layout, and branding
Usability Testing – Improving designs through feedback and iteration
Design Tools Mastery – Figma, Adobe XD, Sketch
Responsive & Mobile-First Design – Ensuring cross-device compatibility
Portfolio Building – Developing a professional design portfolio
Who Can Enroll:
Students and graduates aspiring to enter UI/UX careers
Graphic designers transitioning to digital product design
Web & app developers looking to improve design skills
Professionals seeking to enhance product usability knowledge
Certification:
Upon successful completion of the course, participants will receive a UI/UX Design Certification,
validating their expertise and readiness for industry roles.
Career Opportunities:
UI Designer
UX Designer
Product Designer
Interaction Designer
Design Researcher
Fee: 21,500

2. Digital Marketing Course:
Course Overview:
The Digital Marketing Certified Course is designed to equip learners with the skills to plan, execute,
and optimize powerful online marketing campaigns. From social media management to SEO, Google
Ads, and email marketing, this program provides hands-on training using real-world projects and the
latest industry tools.
You will learn how to create data-driven strategies, generate leads, improve brand visibility, and drive
sales across digital platforms. Whether you’re a student, entrepreneur, or working professional, this
course helps you stay ahead in the fast-paced digital landscape.
What You’ll Learn:
Fundamentals of Digital Marketing – Understanding the online marketing ecosystem
Search Engine Optimization (SEO) – Ranking higher on Google and other search engines
Search Engine Marketing (SEM) – Google Ads campaigns, PPC strategies
Social Media Marketing (SMM) – Facebook, Instagram, LinkedIn, YouTube promotions
Content Marketing – Blogging, copywriting, and storytelling for engagement
Email Marketing – Building effective email campaigns
Affiliate & Influencer Marketing – Partnerships that boost reach
Web Analytics – Using Google Analytics & data to improve campaigns
E-commerce Marketing – Driving online sales effectively
Mobile Marketing – Targeting customers on smartphones and apps
Who Can Enroll:
Students and fresh graduates entering the marketing field
Entrepreneurs and business owners growing their brand
Marketing professionals upgrading their skills
Freelancers looking to offer digital marketing services
Certification:
Upon completion, you will receive an Industry-Recognized Digital Marketing Certification,
proving your capability to strategize, implement, and analyze campaigns.
Career Opportunities:
Digital Marketing Executive / Manager
SEO Specialist
Social Media Strategist
PPC Specialist
Content Marketing Manager
E-commerce Marketing Specialist
Fee: 21,500

3. Python Course Certification:
Course Overview:
The Python Programming Certified Course is designed to help learners master one of the most
popular and versatile programming languages in the world. Python’s simplicity and power make it
ideal for web development, data analysis, automation, artificial intelligence, and more.
This course combines theory with hands-on coding exercises, real-world projects, and problem-
solving sessions to build practical skills for both beginners and professionals.
What You’ll Learn:
Introduction to Python – Syntax, variables, data types, and operators
Control Structures – Conditional statements, loops, and iterations
Functions & Modules – Code reusability and modular programming
Data Structures – Lists, tuples, sets, and dictionaries
File Handling – Reading and writing files
Object-Oriented Programming (OOP) – Classes, objects, and inheritance
Error Handling & Debugging – Writing robust programs
Working with Libraries – NumPy, Pandas, Matplotlib basics
Database Connectivity – Using Python with SQL
Mini Projects – Automation scripts, simple games, or data visualizations
Who Can Enroll:
Students and fresh graduates aspiring to start a programming career
Professionals looking to transition into software development or data science
Entrepreneurs wanting to automate business processes
Anyone interested in learning coding from scratch
Certification:
Upon completion, participants will receive a Python Programming Certification, validating their
knowledge and skills in Python development.
Career Opportunities:
Python Developer
Data Analyst / Data Scientist (with further specialization)
Web Developer (Django / Flask frameworks)
Automation Engineer
AI & Machine Learning Engineer (with advanced training)
Fee: 18,500

4. Data Science Certification Course:
Course Overview:
The Data Science Certified Course is designed to prepare learners for one of the most in-demand and
high-paying careers in the technology industry. You’ll gain expertise in data analysis, statistics,
machine learning, data visualization, and Python programming while working on real-world
datasets.
Through practical projects and case studies, you will learn how to collect, process, analyze, and
interpret complex data to make business decisions and predictions. This course is ideal for students,
working professionals, and entrepreneurs who want to harness the power of data.
What You’ll Learn:
Introduction to Data Science – Concepts, applications, and industry use cases
Python for Data Science – Data types, functions, libraries (NumPy, Pandas)
Statistics & Probability – Descriptive and inferential statistics
Data Visualization – Using Matplotlib, Seaborn, and Plotly
Data Cleaning & Preprocessing – Handling missing values, outliers, and formatting
Exploratory Data Analysis (EDA) – Understanding patterns in data
Machine Learning Fundamentals – Regression, classification, clustering
Big Data Basics – Introduction to Hadoop, Spark
Capstone Project – Apply skills to a complete data science problem
Who Can Enroll:
Students and graduates aspiring to enter the data science field
IT professionals transitioning into analytics or AI roles
Business analysts wanting to strengthen data-driven decision-making skills
Anyone interested in data, analytics, and predictive modeling
Certification:
After completing the course, you’ll receive an Industry-Recognized Data Science Certification
showcasing your ability to work with real-world data problems.
Career Opportunities:
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
AI Specialist
Fee: 28,500

5. Machine Learning Course Certification:
Course Overview:
The Machine Learning Certified Course equips learners with the skills to design, build, and deploy
intelligent systems that learn from data. You’ll master algorithms, data preprocessing, model
evaluation, and real-world problem solving using Python and popular ML libraries.
Through interactive sessions and hands-on projects, you will gain the ability to apply machine
learning techniques to areas such as predictive analytics, computer vision, and natural language
processing.
What You’ll Learn:
Introduction to Machine Learning – Concepts, applications, and ML workflow
Python for ML – NumPy, Pandas, Matplotlib, Scikit-learn
Data Preprocessing – Cleaning, normalization, encoding, and feature scaling
Supervised Learning – Linear & logistic regression, decision trees, random forests
Unsupervised Learning – Clustering, dimensionality reduction
Model Evaluation – Accuracy, precision, recall, F1-score, confusion matrix
Ensemble Methods – Bagging, boosting, and stacking
Neural Networks Basics – Introduction to deep learning concepts
Real-World ML Projects – Predictive modeling, recommendation systems
Capstone Project – End-to-end ML solution deployment
Who Can Enroll:
Students and graduates interested in AI & data careers
Data analysts and developers transitioning into ML
Professionals looking to enhance analytics and automation skills
Anyone curious about building intelligent systems
Certification:
Upon completion, participants will be awarded a Machine Learning Certification, validating their
ability to develop and implement ML models.
Career Opportunities:
Machine Learning Engineer
AI Engineer
Data Scientist
Research Analyst
Predictive Analytics Specialist
Fee: 28,500

6. Artificial Intelligence with Python Certified Course:
Course Overview:
The Artificial Intelligence with Python Certified Course is designed to help learners master the
foundations of AI and apply them using Python. You will explore machine learning, natural language
processing, computer vision, and neural networks while working on real-world projects.
Python, with its rich libraries and frameworks, is the most widely used language in AI development.
This course blends theory and practice to give you a strong foundation in AI concepts along with
hands-on coding experience.
What You’ll Learn:
Introduction to Artificial Intelligence – History, concepts, and applications
Python for AI – Basics, NumPy, Pandas, Matplotlib
Search Algorithms – BFS, DFS, A* for problem-solving
Knowledge Representation & Reasoning – Logic, ontologies, and inference
Machine Learning with Python – Supervised and unsupervised algorithms
Deep Learning Basics – Neural networks, TensorFlow, and Keras
Natural Language Processing (NLP) – Text processing, sentiment analysis, chatbots
Computer Vision – Image processing, object detection with OpenCV
AI Ethics & Responsible AI – Bias, fairness, and accountability
Capstone Project – Develop a complete AI-powered solution
Who Can Enroll:
Students and graduates aspiring to enter AI & data science fields
Developers looking to expand into AI application development
Data analysts and machine learning enthusiasts
Anyone curious about intelligent systems and automation
Certification:
After successful completion, participants will receive an Artificial Intelligence with Python
Certification, proving their skills in building AI-powered solutions.
Career Opportunities:
AI Engineer
Machine Learning Engineer
Data Scientist
Computer Vision Specialist
NLP Engineer
Fee: 28,000