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AI/ML Training Course

Master Artificial Intelligence and Machine Learning with practical projects, hands-on training, real-world applications, expert mentorship, and industry-focused skills for successful technology careers.

★★★★★
5/5 (4,890 Reviews)
Level Advanced
Duration 4 Weeks
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AI/ML Training Course

Our AI/ML Training Course is designed for students, freshers, graduates, and professionals who want to build practical Artificial Intelligence and Machine Learning skills. Learn Python, data preprocessing, supervised and unsupervised learning, regression, classification, model evaluation, and predictive analytics through hands-on training. Work on real-world AI/ML projects, practical assignments, and applications under expert guidance. Develop job-ready skills and prepare for career opportunities in Artificial Intelligence, Machine Learning, data science, and technology.
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AI_ML Training Course

What This AI/ML Course Covers

✓

Introduction to Artificial Intelligence and Machine Learning, key concepts, applications, and industry use cases

✓

Learn Python programming, data handling, NumPy, Pandas, and essential tools for AI/ML development

✓

Understand supervised and unsupervised learning, regression, classification, clustering, and machine learning algorithms

✓

Work with data preprocessing, feature engineering, model training, evaluation, and performance optimization techniques

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Explore neural networks, deep learning fundamentals, and practical AI/ML implementation techniques

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Build real-world AI/ML projects using practical datasets and hands-on machine learning applications

AI/ML Course Program Details

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Duration
3 Months
⌛
Total Hours
48 Hours
▣
Classes Per Week
2–3 Days
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Total Classes
24 Classes
⚙
Hours Per Class
2 Hours
◆
Total Modules
12 Modules

Course Fee

⚙
Offer Fee
Save ₹3,000 (15% off)
₹7,000
Duration 45 days
Instant Enrolment
Regular Fee
₹10,000
Full Payment
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▶

Live Instructor-Led AI/ML Training Classes

♟

Doubt Support & AI/ML Development Mentorship

✓

Practical Python, Machine Learning & Data Analysis Assignments

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Real-World Artificial Intelligence & Machine Learning Projects

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Machine Learning, Deep Learning & Predictive Analytics Projects

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AI/ML Training Course Completion Certificate

Training Plan

Upgrade your skills with industry level courses

01

About trainer

Working professional who is carrying more than 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Who Should Enroll in This
AI/ML Training Course

Students, graduates, developers, data enthusiasts, freshers, working professionals, and aspiring AI specialists seeking practical Artificial Intelligence and Machine Learning skills can enroll.
Beginners
Entrepreneurs
Fresh Graduates
Working Professionals
Developers
Freelancers
Mrketers
IT Professional

AI/ML Training Course Outline

  • Learn C Programming, HTML & HTML5, and CSS & CSS3 to build strong fundamentals in web development, mastering structure, styling, and programming concepts for modern responsive design.
  • Learn JavaScript, Bootstrap, and Tailwind CSS to design dynamic, responsive, and modern web interfaces. Master front-end development skills through hands-on projects and real-world website design experience.
  • Explore data fundamentals, Python programming basics, and AI concepts, including data types, variables, control structures, and introductory AI techniques for practical applications.
  • Explore essential data science frameworks including Pandas, NumPy, Matplotlib, and Scikit-learn. Learn data manipulation, visualization, statistical analysis, and machine learning integration to build efficient, scalable, and real-world data-driven applications.
  • Learn to install Python, Jupyter Notebook, Anaconda, and essential libraries; configure IDEs, set up virtual environments, and prepare a robust environment for data science projects.
  • Learn data manipulation with Pandas, numerical computing using NumPy, visualization via Matplotlib, and machine learning implementation with Scikit-Learn for practical Python data projects.

Google Reviews

What Our Students Say

R

Rahul Sharma

AI Course Student
★★★★★

Excellent AI course with practical learning. The instructors explain Generative AI and automation in a very simple way.

G
P

Priya Verma

AI Course Student
★★★★★

Very useful AI training program. I learned how to use ChatGPT, Claude, Gemini and other AI tools for real-world tasks.

G
A

Amit Kumar

AI Course Student
★★★★★

The practical approach makes this AI course different. Every topic is explained clearly with hands-on examples and projects.

G
S

Simran Singh

AI Course Student
★★★★★

A great course for beginners who want to understand Artificial Intelligence and Generative AI without confusion.

G
N

Neha Gupta

AI Course Student
★★★★★

I really enjoyed the learning experience. The course covers modern AI tools, prompting, automation and practical applications.

G
V

Vikas Singh

AI Course Student
★★★★★

One of the best AI learning experiences. The trainers are supportive and the practical assignments are very useful.

G
K

Karan Mehta

AI Course Student
★★★★★

The AI Agent and Generative AI topics were explained very well. Highly recommended for students and professionals.

G
A

Anjali Sharma

AI Course Student
★★★★★

Excellent training with a good balance of theory and practical projects. It helped me become more confident with AI.

G
4.9 ★★★★★ Google Reviews

FAQ ( Frequently Asked Question )

  • The course covers Python, data preprocessing, machine learning algorithms, regression, classification, clustering, model evaluation, predictive analytics, and deep learning fundamentals.
  • Students, freshers, graduates, developers, data enthusiasts, and working professionals interested in Artificial Intelligence and Machine Learning can enroll.
  • Yes. The course starts with fundamental programming and AI/ML concepts before progressing to advanced machine learning techniques and projects.
  • Yes. You will work with practical datasets, assignments, and real-world projects to gain hands-on Artificial Intelligence and Machine Learning experience.
  • Basic programming knowledge is helpful, but the course covers essential Python concepts required for AI and Machine Learning development.
  • Yes. You will learn Python along with essential libraries and tools used for data analysis, machine learning, and AI development.

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