An Artificial Intelligence Certification Course helps learners gain skills in AI, machine learning, and smart automation. This artificial intelligence course covers algorithms, data analysis, neural networks, and practical AI applications in industries like healthcare, finance, and robotics. By completing an artificial intelligence certification, students get hands-on experience with real projects, learning to build intelligent systems and predictive models. The course provides the knowledge and practical skills needed for AI careers, improving job opportunities and preparing learners to work on real-world AI and technology projects with confidence.
Artificial Intelligence Certification Course
Live Online & Classroom Training
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Upcoming Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
September 2025
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
Course Fee
September 2025
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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Job-Centered Approach
Convenient Hrs
Online & Classroom
Industry-Accredited
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We Tie-Up with 1000+ Leading IT and MNC Companies
This Course Includes
- FREE Demo Class
- 0% EMI Loan Facilities
- FREE Softskill & Placement Training
- Tie up with more than 500+ MNCs & Medium Level Companies
- 100% FREE Placement Assistance
- Course Completion Certificate
- Training with Real Time Projects
- Industry-Based Coaching By MNC IT Professionals
Expected Criteria for Assured Placement
The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.
- 80% of coursework completion helps us arrange interviews in required companies.
- 2 or 3 projects to be done for the selected course to ace the technical round effectively.
- Ensure attending the placement training right from the first day of the selected course.
- Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
- Utilize the internship training program at SLA for the complete technical skills.
- Collect the course completion certificate and update the copy to the placement team.
- Ensure your performance indicator meets the expectation of top companies.
- Always be ready with the updated resume that includes project details done at SLA.
- Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts
+91 89256 88858
SLA's Distinctive Placement Approach
1
Tech Courses
2
Expert Mentors
3
Assignments & Projects
4
Grooming sessions
5
Mock Interviews
6
Placements
Key Features of the Artificial Intelligence Certification Course
- Complete Curriculum – Covers all essential topics including data analysis, statistics, Excel, SQL, Python, Tableau, and Power BI for a strong foundation in analytics.
- Practical Learning – Work on real-time projects, dashboards, and datasets to gain hands-on experience.
- In-Demand Skills – Learn data manipulation, visualization, cleaning, and predictive analytics techniques widely used in the industry.
- Experienced Trainers – Get guidance from professionals with industry experience who share practical knowledge and best practices.
- Certification – Earn a recognized Data Analytics Certification to validate your expertise.
- Flexible Learning – Options for online, offline, or self-paced learning to suit your schedule.
- Career Assistance – Benefit from resume support, interview preparation, and placement guidance to help launch your analytics career.
Future Scope
Career Opportunities with AI
An artificial intelligence certification course equips learners to take on roles in AI, machine learning, deep learning, and data-driven automation. Graduates can work in industries like healthcare, finance, robotics, e-commerce, and more.
In-Demand Job Roles
Certified AI professionals are highly sought after for positions such as AI Engineer, Machine Learning Engineer, Data Scientist, NLP Specialist, and Robotics Developer. Organizations are increasingly adopting AI technologies, creating strong demand for skilled experts.
Emerging Technology Growth
AI is driving innovation in areas like automation, predictive analytics, natural language processing, and computer vision, offering sustainable career growth and long-term relevance in the tech sector.
Boost in Skills and Employability
Earning an artificial intelligence certification validates your expertise, enhances your professional profile, and increases employability. Learners gain practical experience through projects, making them confident to handle real-world AI applications and high-value assignments.
Achieve Your Goals With SLA
SLA builds your future with comprehensive coursework and unparalleled placement support.
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Tools covered for Artificial Intelligence Certification Course
Python Programming
Used for statistical analysis and data modeling in AI projects.
MATLAB
Popular for algorithm development, simulations, and numerical computations.
Power BI
Tools for data visualization and business intelligence reporting.
TensorFlow
Frameworks for developing deep learning and neural network models.
PyTorch
Flexible framework for advanced deep learning applications.
NLP Libraries
NLTK, spaCy for text processing, sentiment analysis, and chatbots.
OpenCV
For computer vision tasks, including object detection and image recognition.
SQL
MySQL, MongoDB for storing and managing structured and unstructured data.
Git & GitHub
Version control and collaboration for AI project development.
AWS
For deploying AI/ML models and handling large datasets.
Artificial Intelligence Certification Course Course Syllabus
Download SyllabusOur Artificial Intelligence Engineering Course Syllabus is designed to help learners build skills in both software development and advanced AI. It covers everything from front-end and back-end programming to databases and intelligent systems. Along with development, it introduces learners to modern AI topics like machine learning, deep learning, NLP, and computer vision to prepare them for real-world projects.
Module 1: Web Development Basics
- HTML5 – Structure and semantic tags
- CSS3 – Styling, layouts, animations
- JavaScript – Functions, DOM manipulation, ES6 concepts
- Bootstrap – Responsive design and UI components
Module 2: Backend Development
- Core Python – Syntax, data structures, OOP concepts
- Advanced Python – Generators, decorators, exception handling, multithreading
- Django Framework – MVC architecture, authentication, REST API development
- Flask (Introduction) – Lightweight framework for microservices
Module 3: Database Management
- MySQL – Queries, joins, stored procedures
- MongoDB – NoSQL databases for AI-based projects
- Integration of databases with Python/Django
Module 4: Artificial Intelligence & Machine Learning
- Machine Learning – Supervised, unsupervised, and reinforcement learning
- Data Preprocessing & Feature Engineering
- Model building using Scikit-learn
- Advanced ML – Ensemble methods, model optimization, hyperparameter tuning
Module 5: Deep Learning & Advanced AI
- Neural Networks – Feedforward and backpropagation
- TensorFlow & Keras – Deep learning frameworks
- Convolutional Neural Networks (CNNs) – Image recognition & classification
- Recurrent Neural Networks (RNNs) & LSTMs – Sequence modeling, time-series data
- Generative Adversarial Networks (GANs) – Advanced AI applications
- Natural Language Processing (NLP) – Sentiment analysis, chatbots, text mining
- Computer Vision with OpenCV – Face recognition, object detection
Module 6: AI Deployment & Cloud Integration
- Model Deployment with Flask/Django REST APIs
- Docker for AI model packaging
- Cloud Platforms (AWS / Azure / GCP) – AI and ML services integration
- MLOps – Model lifecycle management and monitoring
Module 7: Capstone Projects & Case Studies
- AI-powered Chatbot Development
- Image Classification using CNNs
- Predictive Analytics for Business
- Recommendation Systems (e-commerce, media, etc.)
- AI Model Deployment on Cloud
Project Practices on Artificial Intelligence Certification Course Training
Project 1Sentiment Analysis Tool
Build an AI tool to analyze customer feedback and determine sentiment, helping businesses improve their products or services.
Project 2Self-Driving Car Navigation
Develop an AI system for self-driving cars that uses computer vision to navigate and make decisions on the road.
Project 3Fraud Detection System
Create an AI system to detect fraudulent transactions in financial data, improving security in banking and finance.
Project 4Speech-to-Text Application
Develop an AI application that converts spoken words into text, making it easier to interact with devices using voice commands.
SLA is a Cetriport Authorised Training & Certification Partner for:
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The Placement Process at SLA Institute
- To Foster the employability skills among the students
- Making the students future-ready
- Career counseling as and when needed
- Provide equal chances to all students
- Providing placement help even after completing the course
Trainer Profile
- Experienced Professionals – Our trainers are certified experts with over 8 years of industry experience in AI, machine learning, data science, and full stack development.
- Hands-on Expertise – They bring practical knowledge from real-time projects and AI applications, ensuring students learn how concepts are applied in real work environments.
- Strong Mentorship – Trainers focus on both basics and advanced topics, guiding learners step by step to build confidence and in-depth skills.
- Up-to-Date Knowledge – With continuous learning, they stay updated with the latest AI tools, frameworks, and industry practices.
- Career-Focused Training – Apart from technical lessons, trainers support students with interview preparation, resume guidance, and placement assistance.
- Project-Based Learning – They help learners work on capstone projects, live assignments, and case studies, giving practical exposure to industry-level tasks.
Artificial Intelligence Certification Course Course FAQ
Who can join the Artificial Intelligence Certification Course?
This course is suitable for students, graduates, IT professionals, and anyone interested in building a career in AI, data science, or full stack development. Basic programming knowledge is helpful but not mandatory.
What skills will I gain from this course?
You will learn front-end and back-end development, databases, machine learning, deep learning, NLP, computer vision, and AI deployment, along with hands-on project experience.
Do I need prior coding experience to enroll?
No prior coding experience is required. The course starts with fundamentals and gradually moves to advanced AI topics, making it beginner-friendly.
Will I work on real-time projects?
Yes! You will work on live projects and case studies, including AI-powered chatbots, image classification, predictive analytics, and recommendation systems.
Does the course provide certification?
Yes, upon successful completion, you will receive a recognized Artificial Intelligence Certification that adds value to your resume and career profile.
What career opportunities can I expect after completing this course?
You can explore roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Full Stack Developer, and NLP Engineer, with growing demand across industries.
Is placement support provided?
Yes, the course includes placement assistance, interview preparation, and career guidance to help you secure job opportunities in top companies.
On Average Students Rated The Artificial Intelligence Certification Course Course 4.40/5.0
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