Overview

Artificial Intelligence is reshaping the future of technology by enabling machines to think, learn, analyze data, and automate complex tasks intelligently. The Certified Artificial Intelligence Professional program at Skillfloor is a comprehensive, industry-focused training designed for learners who want to build strong expertise in AI technologies, intelligent systems, and real-world AI applications. This course helps you move from foundational concepts to implementing practical AI solutions used across modern businesses and digital platforms.

This professional-level course delivers a structured learning experience that combines core AI concepts with hands-on practical implementation. You will gain a strong understanding of artificial intelligence, machine learning, deep learning, neural networks, natural language processing, and intelligent automation systems. The program is designed to help learners understand how AI models are developed, trained, optimized, and applied to solve real business challenges across industries.

A key highlight of this course is its practical, project-driven approach. You will work on real-world AI applications such as intelligent chatbots, recommendation systems, predictive analytics models, image recognition systems, and AI-powered automation solutions. These projects will help you understand data processing, model training, AI workflows, performance optimization, and the implementation of modern AI tools and frameworks. You will also explore how AI technologies are used to improve efficiency, enhance decision-making, and create smarter digital experiences.

In addition, the course covers AI deployment concepts and real-world implementation strategies, helping you understand how intelligent systems are integrated into business environments. By the end of the program, you will build a strong professional portfolio featuring practical AI projects that demonstrate your ability to design and develop intelligent solutions for real-world problems. This combination of technical knowledge and hands-on experience prepares you to confidently pursue high-growth careers in artificial intelligence and emerging AI technology domains.

Academic Partners & International Accreditations

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₹60,000

₹14,900

Course Duration

1.5 Months

Internship

1 Client Project

Live Training

Yes

Career Assistance

Yes

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Course Highlights

  • Comprehensive Artificial Intelligence Training: Gain strong expertise in artificial intelligence concepts, machine learning, deep learning, and intelligent system development.

  • Build Real-World AI Applications: Learn to design, develop, and implement AI-powered solutions such as chatbots, recommendation systems, predictive models, and automation tools.

  • Hands-On Project Experience: Work on practical projects involving AI applications, data-driven solutions, intelligent automation, and real-world business use cases.

  • Master Modern AI Tools & Technologies: Get hands-on experience with AI frameworks, neural networks, machine learning models, data processing tools, and modern AI platforms used in the industry.

  • Internship with Practical Implementation: Apply your learning through structured internships focused on real-time AI projects and industry-based applications.

  • Flexible Hybrid Learning: Access both online and offline sessions across multiple Skillfloor locations for maximum learning flexibility and convenience.

  • Career & Placement Support: Receive expert guidance on resume building, portfolio creation, interview preparation, and placement assistance for AI-related roles.

  • ✅ Industry-Recognized Professional Certification: Earn a Skillfloor certification accredited by FutureSkills Prime and NASSCOM that validates your AI expertise and enhances your career opportunities.
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Certification

After finishing Skillfloor’s Certified Artificial Intelligence Professional Course, you will receive a Certified Artificial Intelligence Professional certification accredited by FutureSkills Prime and NASSCOM, validating your expertise in artificial intelligence concepts, AI tools, intelligent systems, automation, and modern AI technologies. This industry-recognized certification strengthens your profile in the competitive job market by showcasing your skills in AI application development, prompt engineering, workflow automation, neural networks, and AI-powered problem-solving. It opens doors to exciting career opportunities in leading tech companies, innovative startups, and AI-driven organizations across industries. Along with certification, you gain hands-on experience through real-world projects where you build AI-powered applications, intelligent chatbots, automation workflows, recommendation systems, and smart business solutions. This practical exposure helps you solve real-world business challenges and create practical AI solutions, preparing you for advanced roles in artificial intelligence, AI automation, intelligent application development, and emerging AI technology domains.

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Government-Recognized
Skill Development Institute | Skillfloor

Skillfloor Certificate

Skillfloor is a Government-Recognized Skill Development Institute under Startup India (DPIIT), offering career-focused certification programs in Analytics, Artificial Intelligence (AI), Data Science, Digital Marketing, SEO, and related domains. As one of India’s largest training institutes, our courses emphasize hands-on projects, expert mentorship, and skills aligned with real hiring needs. With flexible learning options - online, offline, and hybrid, plus 100% scholarships for selective students, we make quality, job-ready education accessible.

Explore the program that aligns with your goals and take the next step with Skillfloor.

Tools Covered

Artificial Intelligence tools covered in the course in Skillfloortools_covered Artificial Intelligence tools covered in the course in Skillfloor

Top 10 reasons

Certified Artificial Intelligence Professional Before diving into the details, it’s important to understand what makes this course stand out. Skillfloor’s Certified Artificial Intelligence Professional Course is designed to deliver practical learning, real-world AI experience, and complete career support, all in one program. Here are the top reasons why this course is the right choice to build a successful career in Artificial Intelligence and emerging technologies:

1. What You’ll Learn: Artificial Intelligence from Basics to Advanced

At Skillfloor, you’ll learn Artificial Intelligence with a strong focus on real-world implementation and practical skills. This course is designed to help you master the concepts, tools, and AI technologies that companies actively look for in Artificial Intelligence professionals.

  • Artificial Intelligence Fundamentals: Learn the core concepts of AI, including intelligent systems, automation, and real-world AI applications. Build a strong foundation to understand how AI is transforming industries.

  • Machine Learning: Understand how machines learn from data using supervised and unsupervised learning techniques. Learn how to build and train machine learning models for practical business use cases.

  • Prompt Engineering: Learn how to create effective prompts for AI systems to generate accurate and high-quality outputs. Understand prompt optimization techniques for AI-powered applications and automation.

  • Generative AI Applications: Explore modern Generative AI platforms and understand how AI tools are used for content creation, automation, productivity, and business solutions.

  • AI Automation & Intelligent Workflows: Learn how to automate repetitive tasks and improve operational efficiency using AI-powered tools and intelligent workflows.

  • Natural Language Processing (NLP): Understand how AI processes and interprets human language. Learn the basics of chatbots, text analysis, and AI-driven communication systems.

  • AI Project Implementation: Work on practical AI projects and real-world case studies to understand how Artificial Intelligence solutions are implemented across industries. Gain hands-on experience through industry-focused assignments.

  • Industry Tools & AI Platforms: Gain hands-on experience with modern AI tools and platforms, including ChatGPT, Claude, Gemini, and other Generative AI technologies, enabling you to create AI-powered solutions, automate workflows, improve productivity, and implement practical AI applications efficiently.

2. Skills You Will Gain: Industry-Ready AI Expertise

Develop practical, job-ready skills that are highly valued across technology companies, startups, and AI-focused industries. Skillfloor ensures you are prepared to work on real Artificial Intelligence applications confidently.

  • AI Problem Solving: Understand how to apply AI concepts and intelligent systems to solve real business challenges.

  • Prompt Engineering Expertise: Create and optimize prompts for Generative AI tools to improve productivity and output quality.

  • AI Automation Skills: Build automated workflows and simplify repetitive processes using AI-powered technologies.

  • Machine Learning Knowledge: Understand the fundamentals of machine learning models, training methods, and practical implementation.

  • Generative AI Applications: Work with modern AI platforms to create content, automate tasks, and improve business efficiency.

  • AI Analytics & Insights: Interpret AI-generated outputs and analyze system performance for better decision-making.

  • Practical AI Implementation: Gain hands-on experience by working on real AI projects from planning to execution.

3. Structure of Artificial Intelligence Course Fee in Bangalore in 2026

  • Basic AI Courses (1–3 Months): Rs. 15,000 – Rs. 40,000

  • Advanced Certification Courses (3–6 Months): Rs. 40,000 – Rs. 200,000

  • Professional/Diploma Programs (6–12 Months): Rs. 100,000 – Rs. 500,000

  • Executive AI Programs (12+ Months): Rs. 300,000 – Rs. 10,00,000

Skillfloor Course Fee Structure:

Skillfloor’s Certified Artificial Intelligence Professional course is priced at just Rs. 14,900, offering advanced AI training, live projects, internship, certification, and career support, making it one of the most cost-effective professional AI programs in India.

4. Tools You Will Learn: Modern Artificial Intelligence & Automation Tools

Get hands-on experience with a wide range of industry-relevant AI tools and platforms used by today’s Artificial Intelligence professionals, including the latest Generative AI technologies:

  • AI & Generative Platforms: ChatGPT, Claude, Gemini for content generation, automation, research, and AI-powered workflows

  • Machine Learning Tools: Google Colab, Jupyter Notebook, TensorFlow, Scikit-learn for AI model development and experimentation

  • AI Automation Tools: Zapier, Make (Integromat), AI workflow automation platforms for task optimization and process automation

  • Data Analysis & Visualization: Python basics, Pandas, NumPy, Excel, Power BI for data handling and AI-driven insights

  • Natural Language Processing Tools: AI text analysis tools and NLP platforms for chatbot and language-based applications

  • AI Content & Creativity Tools: Canva AI, AI image generation tools, and AI productivity platforms for creative implementations

  • Cloud & AI Platforms: OpenAI tools, Google AI tools, and cloud-based AI applications for practical implementation and deployment

  • Prompt Engineering Tools: Advanced AI prompting frameworks and optimization techniques for better AI-generated outputs

  • Project & Collaboration Tools: GitHub, Notion, and collaboration platforms for managing AI projects and workflows

This diverse toolset ensures you’re equipped with practical, job-ready skills aligned with current Artificial Intelligence trends and industry demands.

5. Course Outcomes: Real-World Artificial Intelligence Capabilities

By the end of this course, you won’t just understand Artificial Intelligence concepts — you’ll be able to apply them confidently in real business scenarios. The program is designed to transform you from a beginner into an industry-ready AI professional with hands-on experience and practical expertise.

Key Achievements

  • You will gain the ability to understand, implement, and manage AI-powered solutions used across industries today. From intelligent automation to Generative AI applications, you’ll know how to apply AI for real business needs.

  • You will learn how to work with machine learning concepts and AI models, helping businesses improve efficiency, automate processes, and make smarter decisions using AI technologies.

  • You will develop practical prompt engineering skills for tools like ChatGPT, Claude, and Gemini, enabling you to generate high-quality outputs, automate workflows, and improve productivity.

  • You will be able to build AI-powered workflows and automation systems that simplify repetitive tasks and improve operational performance in practical business environments.

  • You will also learn how to analyze AI-generated insights and use AI tools effectively for research, content generation, data interpretation, and business problem-solving.

  • Most importantly, you will create a strong portfolio with live AI projects and practical implementation experience, showcasing your technical skills and making you stand out to employers in the competitive Artificial Intelligence job market.

6. Course Highlights & Career Support

  • Placement Support: Get 100% placement assistance with resume building, AI portfolio development, interview preparation, and connections with hiring companies in the AI and tech industry.

  • Certification: Earn Skillfloor’s Certified Artificial Intelligence Professional certification with FutureSkills Prime and NASSCOM recognition, along with a shareable LinkedIn certificate.

  • Internship: Work on real-world AI projects through a 1-student–1-project approach, building machine learning models, AI applications, and data-driven solutions.

  • Course Details: Learn Artificial Intelligence fundamentals, machine learning, deep learning, neural networks, data processing, and AI model development techniques.

  • Course Duration: 6 weeks of advanced training followed by 6 weeks of hands-on internship with real-time AI project implementation.

  • Training Methods: Learn through online, offline, and hybrid modes with assignments, live AI projects, and practical training sessions.

  • Career Services: Includes guaranteed interviews, mock sessions, career mentoring, and complete support for resume, portfolio, and LinkedIn profile optimization.

7. AI Careers and  Growth Opportunities

AI is transforming industries by creating a strong demand for skilled professionals in automation, machine learning, and intelligent systems. It offers high-growth career opportunities with excellent salary potential and long-term stability across multiple sectors.

  • AI careers are expanding across healthcare, finance, ecommerce, education, and technology, opening wide opportunities for skilled professionals.

  • Businesses are hiring AI talent to improve automation, customer experience, predictive analysis, and operational efficiency.

  • Professionals can explore roles such as AI Engineer, Machine Learning Engineer, Data Scientist, and AI Automation Specialist based on their skills.

  • Freelancing and remote AI opportunities allow work with startups, global companies, and international clients from anywhere.

  • Continuous learning and project-based experience help professionals move into senior technical and leadership positions.

  • Strong AI expertise leads to better salary packages, career advancement, and long-term job stability across industries.

8. AI Professional Job Roles and Salary Growth 

Skillfloor’s Certified Artificial Intelligence Professional Course prepares you for some of the most high-growth and future-ready careers in the tech industry. With AI adoption expanding across every sector, demand for skilled professionals is increasing, along with strong salary packages and long-term career stability. 

1. AI Engineer

As an AI Engineer, you will design, develop, and deploy intelligent systems that can simulate human-like decision-making. You’ll work with machine learning models, neural networks, and AI frameworks to build real-world applications such as chatbots, recommendation systems, and automation tools.

Salary: ₹6 – ₹15 LPA

2. Machine Learning Engineer

In this role, you will focus on building and training machine learning models that help systems learn from data and improve over time. Your responsibilities include data preprocessing, model development, and performance optimization to ensure accurate predictions.

Salary: ₹5 – ₹12 LPA

3. Data Scientist

A Data Scientist works with large datasets to extract meaningful insights and solve complex business problems. You’ll use statistics, machine learning, and data visualization to support decision-making in areas like marketing, finance, and operations.

Salary: ₹6 – ₹14 LPA

4. AI Research Analyst

As an AI Research Analyst, you will explore new algorithms, study emerging AI technologies, and contribute to innovation in artificial intelligence. This role is more research-oriented and is ideal for those interested in advanced AI development and experimentation.

Salary: ₹5 – ₹11 LPA

5. AI Automation Specialist

This role focuses on automating business processes using AI tools, workflows, and intelligent systems. You will help organizations reduce manual work, improve efficiency, and implement smart automation solutions across departments.

Salary: ₹4 – ₹10 LPA

9. Skillfloor Artificial Intelligence Professional Courses List

  • Certified Computer Vision Professional

  • Certified Machine Learning Professional

  • Certified Generative AI Professional

  • Certified Agentic AI Associate

  • Certified Agentic AI Professional

  • Certified Agentic AI Architect

  • AI for Healthcare

  • AI for Developers

  • AI for Marketing 

10. Topics Covered: From Basics to Real-World AI Practice

Skillfloor’s Certified Artificial Intelligence Professional Course is structured to provide a complete, hands-on learning experience that combines core AI fundamentals with practical, industry-relevant applications.

  1. Introduction to Artificial Intelligence: Learn the basics of AI, how intelligent systems work, and how AI is transforming industries across the world

  2. Python for AI & Data Handling: Understand Python programming fundamentals and how it is used for data processing and AI development

  3. Machine Learning Fundamentals: Learn key machine learning concepts, algorithms, and how models learn from data to make predictions

  4. Deep Learning Basics: Explore neural networks, deep learning concepts, and how AI systems process complex data like images and text

  5. Natural Language Processing (NLP): Understand how machines process and analyze human language for chatbots, translation, and text analysis

  6. Generative AI & Large Language Models: Learn how tools like ChatGPT work and how generative AI is used for content creation and automation

  7. AI Tools & Automation: Use modern AI tools for productivity, automation, content generation, and workflow optimization

  8. Model Training & Evaluation: Learn how to train AI models, test performance, and improve accuracy using real datasets

  9. Live Projects & Real-World Applications: Work on practical AI use cases such as chatbots, recommendation systems, and predictive models

  10. Capstone Project & Internship Experience: Gain hands-on experience through real-time implementation with a 1-student–1-project/client approach, ensuring personalized, industry-level exposure

This structured curriculum ensures you gain strong technical knowledge, practical experience, and job-ready AI skills to succeed in the evolving AI industry.

Skillfloor’s Certified Artificial Intelligence Professional course helps you build strong AI skills, practical knowledge, and industry-ready expertise for today’s competitive technology sector. Through live projects, hands-on training, and modern AI tools, learners gain real-world experience and the confidence needed to create intelligent solutions and grow successful careers in artificial intelligence.

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Syllabus

  • 1.1 What is Artificial Intelligence? — Definition, History & Evolution

  • 1.2 Types of AI: Narrow AI, General AI, Super AI

  • 1.3 AI vs ML vs Deep Learning vs Data Science

  • 1.4 Real-World AI Applications Across Industries

  • 1.5 AI Ethics, Bias, and Responsible AI

  • 2.1 Python Basics — Variables, Data Types, Control Flow, Functions

  • 2.2 Data Structures — Lists, Tuples, Dictionaries, Sets

  • 2.3 NumPy — Arrays, Indexing, Basic Operations

  • 2.4 Pandas — DataFrames, Data Loading, Filtering, Grouping

  • 2.5 Data Visualization with Matplotlib & Seaborn

  • 3.1 Linear Algebra Essentials — Vectors, Matrices (Conceptual)

  • 3.2 Calculus Intuition — Derivatives & Gradient Descent (No Derivations)

  • 3.3 Probability & Bayes’ Theorem

  • 3.4 Descriptive Statistics — Mean, Median, Variance, Standard Deviation

  • 4.1 Types of Data — Structured, Unstructured, Semi-Structured

  • 4.2 Handling Missing Data — Imputation Techniques

  • 4.3 Data Encoding — Label Encoding, One-Hot Encoding

  • 4.4 Feature Scaling — Normalization vs Standardization

  • 4.5 Exploratory Data Analysis (EDA)

  • 5.1 What is Machine Learning? — How It Learns

  • 5.2 Types: Supervised, Unsupervised, Reinforcement Learning (Overview)

  • 5.3 ML Workflow — Data → Training → Evaluation → Prediction

  • 5.4 Overfitting vs Underfitting

  • 5.5 Evaluation Metrics — Accuracy, Precision, Recall, F1

  • 6.1 Regression vs Classification — When to Use What

  • 6.2 Key Algorithms Overview — Decision Trees, Random Forests, KNN, SVM (Conceptual, No Math)

  • 6.3 Clustering — K-Means (Conceptual)

  • 6.4 Dimensionality Reduction — PCA Intuition

  • 6.5 Demo: Train a Classifier with Scikit-Learn

  • 7.1 What is Deep Learning? — Neurons to Neural Networks

  • 7.2 How Neural Networks Learn — Forward Pass, Backpropagation (Intuition)

  • 7.3 Activation Functions — ReLU, Sigmoid, Softmax

  • 7.4 Introduction to TensorFlow / Keras

  • 7.5 Training Basics — Epochs, Batch Size, Learning Rate

  • 8.1 CNNs — How They Process Images (Visual Intuition)

  • 8.2 Transfer Learning — Using Pre-Trained Models

  • 8.3 RNNs — How They Handle Sequential Data

  • 8.4 LSTM & GRU (Conceptual)

  • 9.1 What is NLP? — How Machines Understand Language

  • 9.2 Text Preprocessing — Tokenization, Stop Words, Stemming

  • 9.3 Text Representation — Bag of Words, TF-IDF, Word Embeddings

  • 9.4 Transformers — High-Level Overview

  • 10.1 What is Generative AI? — Discriminative vs Generative

  • 10.2 Large Language Models — GPT, BERT, LLaMA (Overview)

  • 10.3 Prompt Engineering Basics — Zero-Shot, Few-Shot

  • 10.4 Working with OpenAI API

  • 10.5 Introduction to RAG (Concept)

  • 10.6 Ethics in Generative AI — Hallucinations, Bias

  • 11.1 Cloud AI Services — AWS, Google Cloud, Azure (Overview)

  • 11.2 Model Deployment Concepts — APIs, Containers (Overview)

  • 11.3 AI Career Paths & Portfolio Building

FAQ

A certified artificial intelligence (AI) associate is someone who has completed a recognized certification program in AI, demonstrating their proficiency in understanding and applying AI concepts and techniques

Obtaining certification in AI can validate your skills, enhance your credibility, and increase your job prospects in fields where AI technology is used.

 

To become certified, you typically need to complete specific training courses, gain hands-on experience with AI tools and techniques, and pass an exam that tests your knowledge and understanding of AI concepts.

Skills such as programming, machine learning, data analysis, problem-solving, and critical thinking are important for artificial intelligence certification.

 

With artificial intelligence certification, you can pursue roles such as AI engineer, data scientist, machine learning engineer, AI researcher, or AI consultant in various industries.

 

The time it takes to become certified varies depending on the program and your prior knowledge, but it typically takes several months to a year of study and preparation.

 

Earning An artificial intelligence certification can provide you with valuable skills and credentials that can help advance your career and open up new opportunities in the field of AI.

 

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