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Kodestree

Python AI Training Course Online

32 Lessons
|
40 hours

kodestree offers online AI with Python training designed to help learners build strong skills in AI programming using Python. This comprehensive Python AI training program covers Python fundamentals, data handling with NumPy and Pandas, data visualization with Matplotlib and Seaborn, and building machine learning models using regression, classification, and clustering. You will also explore advanced topics like deep learning with CNNs and RNNs, natural language processing (NLP), and generative AI techniques such as GANs. We have successfully trained over 600 individuals globally. After completing this 35-hour Python AI certification course, you will be fully prepared to work on real-world AI projects, build and deploy machine learning models, and pursue certifications or job roles like AI Developer, Data Scientist, or Machine Learning Engineer.

Python AI Training Course Online
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About Course

Prerequisites

  • Basic Python programming: variables, loops, conditionals, functions, lists/dictionaries
  • Math fundamentals: algebra, probability, statistics, basic linear algebra
  • Problem-solving mindset: logical thinking, patience, willingness to experiment
  • Optional: familiarity with data libraries like NumPy and Pandas

Who Should Enroll?

  • Aspiring AI and Machine Learning professionals
  • Python developers looking to specialize in AI
  • Data Analysts and Data Scientists
  • Software Engineers aiming to build intelligent applications
  • Students and freshers interested in AI/ML careers
  • IT professionals wanting to upskill in AI technologies
  • Business analysts working on AI-driven solutions
  • Entrepreneurs and tech innovators building AI products
  • Researchers exploring AI and machine learning projects
  • Professionals preparing for AI certifications

What Will You Learn

  • Python programming for AI applications
  • Data handling and manipulation using libraries like NumPy and Pandas
  • Data visualization techniques
  • Basics of machine learning algorithms
  • Introduction to deep learning and neural networks
  • Building AI models and training them on datasets
  • Model evaluation and performance optimization
  • Applying AI to real-world problems and projects

Career Opportunities After Completing Python AI Course

What’s New in Python AI (2026)?

  • Python 3.14
  • Free-Threaded Python
  • Experimental JIT Compiler
  • Template String Literals
  • Deferred Evaluation of Annotations
  • Latest PyTorch Ecosystem
  • Latest scikit-learn 1.9
  • GPU-Enabled Machine Learning with Array API
  • Python 3.14 AI/ML Library Compatibility

Course Curriculum

Course Content

Lesson 1 – Python Programming & Data Handling

  • Data Types, Operators, Loops, Conditionals
  • Functions, Modules, Exception Handling
  • Data Structures: Lists, Tuples, Dictionaries, Sets
  • NumPy: Arrays, Operations, Matrix Manipulation
  • Pandas: DataFrames, Data Cleaning, Data Manipulation
  • File Handling: CSV, JSON

Lesson 2 – Mathematics & Statistics for AI

Lesson 3 – Machine Learning (ML)

Lesson 4 – Deep Learning & Neural Networks

Lesson 5 – Natural Language Processing (NLP)

Lesson 6 – Computer Vision & Image Processing

Lesson 7 – Generative AI & Advanced Topics

Lesson 8 – AI Model Deployment & Production

Request For Live Demo Class

Self Paced Learning
₹47,940.00
✓ Refund Policy
  • Duration: 40 hrs
  • 32 Lessons & Practical Labs
  • Lifetime Full Access & Free Upgrades
  • Downloadable Study Materials & Code Labs
  • Recognized Certification of Completion
  • 24x7 Online Support & Learner Forum
One to One Training
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  • 100% Customized Delivery & Curriculum
  • Flexible Schedule as per Learner Convenience
  • Top Tier Industry-Experienced Instructors
  • Tailored Hands-On Project Mentoring
  • Dedicated Interview & Career Guidance
  • 24x7 Dedicated Priority Support

Placement Partners

Hettich
Bechtel
Emirates
Mitsubishi
Indian Navy
Tech Mahindra
AU Small Finance Bank
Capgemini
United Nations
Yash Technologies

Want to know Today's Offer

Python AI Training Course Online Certification Exam

Upon completing the Python AI Training Course Online, you will receive a globally recognized certification that validates your expertise in software development and programming best practices. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The Programming certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

Read more
Python AI Training Course Online

Frequently Asked Questions

The Python AI Training Course Online is designed to provide comprehensive, in-depth training in Python AI Training. Prerequisites Basic Python programming: variables, loops, conditionals, functions, lists/dictionaries Math fundamentals: algebra, probability, statistics, basic linear algebra Problem-solving mindset: logical thinking, patience, willingness to experiment Optional: familiarity with data libraries like NumPy and PandasWho Should Enroll?Aspiring AI and Machine Learning professionalsPython developers looking to specialize in AIData Analysts and Data ScientistsSoftware Engineers aiming to build intelligent applicationsStudents and freshers interested in AI/ML careersIT professionals wanting to upskill in AI technologiesBusiness analysts working on AI-driven solutionsEntrepreneurs and tech innovators building AI productsResearchers exploring AI and machine learning projectsProfessionals preparing for AI certifications What Will You Learn Python programming for AI applications Data handling and manipulation using libraries like NumPy and Pandas Data visualization techniques Basics of machine learning algorithms Introduction to deep learning and neural networks Building AI models and training them on datasets Model evaluation and performance optimization Applying AI to real-world problems and projects Career Opportunities After Completing Python AI Course AI/ML Engineer Data Scientist Python Developer Deep Learning Engineer Data Analyst Research Scientist (AI/ML) AI Consultant Business Intelligence (BI) Developer What’s New in Python AI (2026)? The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Python AI Training and qualify for engineer, scientist, developer positions. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Python AI Training tools and best practices, helping you build a portfolio to showcase to hiring managers.

Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into engineer, scientist, developer positions.

Contact Us Worldwide

Call:
+91 7204614489

WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

LEARNER SUCCESS

What Learners Say

Real feedback from professionals who transformed their careers with our training

4.8/5
Average Rating
1,200+ Learner Reviews
Learner Reviews
Ankit Sharma Priya Menon Rahul Verma Sneha Kapoor +
10,000+
Learners Trained
Ankit Sharma Priya Menon Rahul Verma Sneha Kapoor +
95% Satisfaction
Satisfaction Rate
“

The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

“

After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

“

Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

“

Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

“

This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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