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Advanced Certification in Machine Learning & AI

Accelerate your career with DizitalAdda’s Advanced Certification in Machine Learning & AI. This intensive 6-month, project-based program takes you from beginner to job-ready, equipping you with essential ML/AI skills, practical deployment experience, and a strong professional portfolio.

  • Learn from Industry Experts
  • 100% Practical & Project-Based Training
  • Work on Real World Projects
  • Build a Strong, Job-Ready Portfolio

Let's Discuss What You Want

I want to know what's latest in market

Duration: 6 Months / 144 Hours Mode: Hybrid (Online + Offline) 100% Placement Support Rating: 4.82 ★ (1932 ratings) Level: Beginner Friendly

Key Skills Covered

Python NumPy Pandas Matplotlib Seaborn Jupyter Google Colab Git GitHub Scikit-learn Regression Classification Logistic Regression Decision Trees Random Forests SVM Naive Bayes KNN XGBoost Unsupervised Learning K-Means PCA Model Evaluation Hyperparameter Tuning Feature Engineering TensorFlow Keras CNNs RNNs Transformers Hugging Face LLMs Generative AI GANs Streamlit Flask Gradio Docker Cloud Deployment CI/CD for ML API Integration Data Cleaning Preprocessing Time Series Analysis Descriptive Statistics Probability Correlation Hypothesis Testing Computer Vision Object Detection Image Segmentation OCR Chatbots Document Analysis Summarization Recommendation Systems Portfolio Building Resume Optimization LinkedIn Strategy Technical Interview Preparation Behavioral Interview Preparation

Build Skills That Companies Are Looking For

Our curriculum is designed to match real industry needs, so you're job-ready for roles at companies like TCS, Wipro, Google, and Infosys.

TCS Wipro Google Microsoft Infosys

*Companies mentioned are examples of industry relevance. Logos shown for aspirational and educational purposes only.

Course Modules

Foundations & Setup

  • Set up Python & libraries
  • Preprocess and clean data
  • Explore data visually
  • Version control with Git
  • Collaborate using GitHub
Python Pandas NumPy Data Preprocessing Git

Supervised Learning Mastery

  • Understand regression & classification
  • Evaluate models with metrics
  • Learn decision trees & ensembles
  • Use SVM for classification
  • Tune models with optimization
Supervised Learning Logistic Regression Random Forest SVM Model Evaluation

Unsupervised Learning & Feature Engineering

  • Apply clustering algorithms
  • Use PCA and t-SNE
  • Select and engineer features
  • Detect anomalies
  • Apply unsupervised models
Unsupervised Learning Clustering Feature Engineering Dimensionality Reduction Anomaly Detection

Deep Learning Fundamentals

  • Understand neural networks
  • Use CNNs for image tasks
  • Apply RNNs & LSTMs
  • Explore transfer learning
  • Fine-tune pretrained models
Neural Networks CNNs RNNs Transfer Learning Deep Learning

Specialized AI Domains

  • Explore NLP for text tasks
  • Apply CV for images
  • Learn Reinforcement Learning
  • Work on real-world AI use cases
  • Study AI for social impact
NLP Computer Vision Reinforcement Learning Text Analysis AI Applications

Capstone Projects & Career Preparation

  • Work on end-to-end projects
  • Deploy production-ready models
  • Build a strong portfolio
  • Prepare for tech interviews
  • Receive career guidance
Capstone Project Model Deployment Portfolio Building Interview Prep Career Coaching

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What Have We Achieved?

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  • DizitalAdda is a trusted name in tech training, with over 5,000+ successful students and an 85% placement rate. Our hands-on approach and industry-relevant curriculum have helped students land jobs at top companies like Google, Amazon, and Microsoft. We equip learners with the skills needed to excel in the ever-evolving tech world.
  • 1000+ students trained in AI & ML tools : Learners gain hands-on mastery in Python, SQL, Scikit-learn, and TensorFlow — covering EDA, machine learning, deep learning, NLP, and BI tools to build real-world, production-ready models.
  • 80% placed in AI roles : Roles include Prompt Engineer, Generative AI Specialist, and ML Engineer. Projects include building content generators, smart chatbots, and text-based automation systems.

Lets Do a Quick Campus Tour!

What Our Learners Say

"This course was a game-changer. The real projects and mentorship helped me land my first job in AI!"

— Anjali Sharma, GenAI Developer

"Not just theory — we built real GenAI tools! The hands-on approach made learning so much easier."

— Rahul Verma, Prompt Engineer

"I loved the hybrid mode. I could learn remotely and still attend live weekend sessions with mentors."

— Sneha Patel, ML Intern

Frequently Asked Questions

Frequently Asked Questions offers quick answers to common queries, guiding users through features effortlessly.

What is machine learning in AI?

ML is a subset of AI where algorithms learn patterns in data to make predictions or decisions without explicit programming.

Is AI and machine learning a good career?

Yes, it's in high demand across multiple industries and offers strong growth potential and high-paying opportunities.

What is the salary of AI and ML professionals?

AI Engineers earn $100K–$150K; ML Engineers $95K–$145K. Senior roles can exceed these ranges.

Is AI and machine learning easy?

It requires solid programming and mathematical foundations but is learnable with structured resources and practice.

Is AI a high paying job?

Yes, AI is among the highest-paying tech roles with options for bonuses, stock, and rapid career growth.

Is AI and ML better than CSE?

AI/ML offers more niche and cutting-edge roles, while CSE is broader and more foundational.

Is Machine Learning hard to learn?

It can be challenging but is manageable with proper structure, problem-solving mindset, and project practice.

Is B.Tech in AI good for the future?

Yes, it prepares you for top-tier AI roles in a rapidly growing global market.

What is the salary of B.Tech in Artificial Intelligence graduates?

Entry-level salaries range $60K–$90K annually, with senior roles earning $120K+ depending on region and experience.

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