Artificial Intelligence – Foundational Course
November 17, 2025 2025-11-19 1:53Artificial Intelligence – Foundational Course
Artificial Intelligence
Best Artificial Intelligence Training Institute In Bangalore
Artificial Intelligence focuses on building systems that learn and make smart decisions. At Synkoc, we offer a structured foundation course covering essential AI concepts, tools, and applications. Our Experienced Instructors ensure strong conceptual clarity along with practical learning.
Students gain real-world exposure through Hands-On Projects, helping them apply and reinforce their skills. Synkoc also provides Flexible Learning and Regular Course Updates to keep learners aligned with the latest advancements in AI.
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Ready to build a strong future in the world of AI? Enroll in Synkoc’s Artificial Intelligence – Foundational Course today.
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Experience the power of Artificial Intelligence firsthand! Book your demo class at Synkoc and discover how our expert-led sessions can build your foundation and elevate your skills in AI.
AI Training Key Features
40+ Hours of course duration
Industry Experienced trainers.
Industrial Oriented Curriulum.
Lab Exercises,Real Time Examples to Practice.
Offline & online Classes with Latest Course material.
Drawings for practice as per Industrial standards.
JOB Placement Assistance
AI Training Batch Schedules
Weekdays Regular Classes -1 Hr/Day
Weekend Regular Classes -3 Hrs/Day
AI-Foundation Training Syllabus
Introduction to AI & ML
4 hrs | Week 1
- What is AI & ML?
- Applications of AI/ML in real-world scenarios
- Types of ML: Supervised, Unsupervised,Reinforcement Learning
- Introduction to AI/ML tools
Python for AI/ML
10 hrs | Week 233
- Python Basics: Variables, Data types,Operators
- Loops & Conditionals
- Functions & Modules
- Lists, Tuples, Dictionaries
- Simple scripts & mini projects
Data Preprocessing
6 hrs | Week 4
- Understanding datasets
- Handling missing data
- Data cleaning basics
- Normalization & scaling
Exploratory Data Analysis (EDA)
6 hrs | Week 5
- Descriptive statisticson: Matplotlib & Seaborn
- Descriptive statistics
- Correlation & relationships
Supervised Learning
10 hrs | Week 637
- Regression: Linear, Polynomial
- Classification: Logistic Regression, k-NN
- Model evaluation: Accuracy, Confusion Matrix
- Simple projects: Predicting scores, binary classification
Unsupervised Learning
6 hrs | Week 8
- Clustering: K-Means
- Dimensionality reduction basics
- Simple clustering projects
Neural Networks & Deep Learning
6 hrs | Week 9
- Introduction to Neural Networks
- Perceptron & simple feedforward networks
- Basic activation functions
Model Evaluation & Optimization
4 hrs | Week 10
- Train/Test Split
- Basic evaluation metrics: Accuracy, Precision, Recall
Machine Learning Libraries
4 hrs | Week 10
- Scikit-learn basics: Model fitting & prediction
- Matplotlib & Seaborn for visualization
Practical Projects
4 hrs | Week 10
- Predict student scores
- Simple classification problems (Iris dataset, Titanic dataset)
Capstone / Hands-on
4 hrs | Week 10
- Mini project combining Regression, Classification & Visualization
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Career Opportunities
- Machine Learning Engineer:Build, train, and optimize ML models for real-world applications.
- Data Scientist:Analyze data, generate insights, and create predictive models to support business decisions.
- AI Engineer:Develop AI systems such as chatbots, recommendation engines, and automation tools.
- Data Analyst:Interpret data, prepare reports, and support organizational decision-making using analytical tools.
- Deep Learning Specialist:Work on neural networks for image processing, speech recognition, and advanced AI solutions.
- NLP Engineer:Develop language-based AI systems like translators, voice assistants, and text-analysis tools.
- Business Analyst (AI Projects):Bridge the gap between business needs and AI solutions to improve processes and performance.
- AI Research Assistant:Support research in AI labs or companies focused on innovation and new AI techniques.
- MLOps Engineer:Deploy, monitor, and maintain ML models in production environments.
- Cloud AI Developer:Build AI systems using cloud platforms like Azure, AWS, or Google Cloud.
- Robotics Process Automation (RPA) Developer:Use AI and automation tools to improve workflows and reduce manual tasks.
- Education & Training:Teach AI/ML courses to students and professionals.
What Students Say About Synkoc
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StudentFrequently Asked Questions
AI Foundational Course Training FAQs
Who can attend this training?
Anyone interested in learning the basics of Artificial Intelligence and Machine Learning, including students, working professionals, job seekers, and individuals from non-technical backgrounds.
How to attend this training?
You can join the training online through Synkoc’s virtual classroom platform after completing the enrollment process.
What is the exact location?
This is an online-only course, accessible from anywhere.
What makes Synkoc Training Institute stand out for AI courses?
Synkoc offers industry-aligned curriculum, hands-on projects, expert trainers, flexible learning options, and strong career support, ensuring high-quality AI education.
Which tools and technologies will I be learning in this course?
You will learn AI fundamentals, Python basics, ML algorithms, data preprocessing, model building, evaluation techniques, and commonly used tools like Jupyter Notebook and essential Python libraries.
What are the qualifications and industry experience of the AI instructors at Synkoc?
Our instructors are experienced AI/ML professionals with real-world project exposure and strong academic backgrounds.
Can I access software and tools during the course?
Yes. All required tools, Python environments, libraries, and setup instructions will be provided.
Are there any prerequisites for the AI Foundational Course?
No. Basic computer knowledge is sufficient. No prior coding or math background is required.
How hands-on is the AI training at Synkoc?
The course includes practical exercises, guided labs, datasets, real-time examples, and mini-projects to apply your learning effectively.
Does Synkoc offer any certification upon completion?
Yes. You will receive a Synkoc AI Foundational Course Certificate after completing the training.
Is the AI course suitable for beginners?
Absolutely. The course is designed especially for beginners and those starting their AI journey.
Can I access course materials after completing the AI course?
Yes. You will retain access to essential course notes, recordings (if provided), and study material.
What learning resources are provided by Synkoc?
You will receive study materials, practice datasets, coding examples, project files, and recommended reference links.
How flexible is the schedule for the AI course at Synkoc?
We offer flexible online class timings to suit students, working professionals, and part-time learners.
Are there opportunities for networking or career support at Synkoc?
Yes. You will receive mentorship, resume guidance, interview preparation, and career assistance.
What is Synkoc’s policy regarding technical support for software-related issues?
Our team provides full technical assistance for installation, environment setup, and troubleshooting during the course.
Can I attend a demo class before enrolling in the AI course?
Yes. You can book a free demo class to experience the training before joining.
What is Synkoc’s refund or cancellation policy for the AI course?
The refund or cancellation policy will be provided at the time of registration, based on Synkoc’s training terms.
