AI & Machine Learning Professional Program with Python
Become job-ready in just 1 month with intensive AI & ML training using Python. Gain hands-on experience with projects in computer vision, NLP, and deployment while preparing for interviews with expert mentorship.
About This Course
This 1-month intensive program equips participants with strong AI & ML skills using Python, covering machine learning, deep learning, NLP, computer vision, and deployment. Students build 3 end-to-end projects, gain portfolio-ready experience, and receive mentorship and interview preparation support.
What You Will Learn
Hands-on Projects
Apply your learning through real-world projects that build your portfolio and showcase your skills
Unique method to make you professionally rich
Progress through our comprehensive program which makes qualified professional to earn their awards
Bronze Award
Begin your journey with foundational skills and basic certification.
Course Curriculum
Technologies You Will Learn
Master the most in-demand tools and technologies for data analytics
Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras)
SQL & Databases (SQLite/PostgreSQL)
Data Visualization (Matplotlib, Seaborn)
Deep Learning (CNNs, RNNs, Transformers)
NLP (NLTK, spaCy, BERT, GPT basics)
Computer Vision (OpenCV, CNNs)
Cloud Platforms (AWS/GCP, Docker, Flask/FastAPI)
Git & GitHub (version control, collaboration)
What Our Students Say
Hear from our students who have transformed their careers with our courses
Why Choose Edjamon?
Discover the difference between Edjamon and traditional learning platforms
| Features & Criteria | EdJAMON | Other Platforms |
|---|---|---|
Duration | 1 Month (intensive, project-focused, job-ready) | 6–12 Months (longer, less focused) |
Learning Format | Live Classes + 1:1 Mentor Support + Real Projects | Mostly self-paced or generic recorded videos |
Python & SQL | Hands-on coding from Day 1 (Python, Pandas, SQL, NumPy, Scikit-learn) | Limited practice, more theory-heavy |
Statistics & Machine Learning | Covers supervised & unsupervised learning, ML algorithms, evaluation, hyperparameter tuning | Covers basics, often lacks real-world application depth |
Deep Learning & AI | Neural Networks, CNNs, RNNs, Transformers, NLP, Computer Vision, Generative AI basics | Often limited to introductory DL, no advanced NLP/Transformer coverage |
Visualization Tools | Matplotlib, Seaborn + integrated visual reporting in projects | Focus on one tool only (Excel OR Tableau) |
Capstone Projects | 3 End-to-end projects (EDA → ML/DL → Deployment) | Case studies or mini projects only |
Cloud & Deployment | Flask / FastAPI, Docker basics, AWS/GCP deployment, model monitoring | Rarely included or only optional |
Version Control & Tools | Git/GitHub, Jupyter, VS Code/PyCharm, Linux basics | Limited or skipped entirely |
Mentorship & Career | Weekly code reviews, 1:1 mentoring, mock interviews, resume prep | Very limited or none |
Job Roles After Program
Explore exciting career opportunities after completing this program
Machine Learning Engineer
AI Engineer
Data Scientist
NLP Engineer
Computer Vision Engineer
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Frequently Asked Questions
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